import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import operator
import csv
import seaborn as sns
from pandas.plotting import register_matplotlib_converters
from sklearn.impute import SimpleImputer
%matplotlib inline
import ipynb.fs.defs.functions as func
CORRELATION_THRESHOLD = 0.5
register_matplotlib_converters()
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
data = pd.read_csv('pd_speech_features.csv', sep=",", decimal='.', header=[0,1])
data.head(5)
| Unnamed: 0_level_0 | Unnamed: 1_level_0 | Baseline Features | Unnamed: 3_level_0 | Unnamed: 4_level_0 | Unnamed: 5_level_0 | Unnamed: 6_level_0 | Unnamed: 7_level_0 | Unnamed: 8_level_0 | Unnamed: 9_level_0 | Unnamed: 10_level_0 | Unnamed: 11_level_0 | Unnamed: 12_level_0 | Unnamed: 13_level_0 | Unnamed: 14_level_0 | Unnamed: 15_level_0 | Unnamed: 16_level_0 | Unnamed: 17_level_0 | Unnamed: 18_level_0 | Unnamed: 19_level_0 | Unnamed: 20_level_0 | Unnamed: 21_level_0 | Unnamed: 22_level_0 | Intensity Parameters | Unnamed: 24_level_0 | Unnamed: 25_level_0 | Formant Frequencies | Unnamed: 27_level_0 | Unnamed: 28_level_0 | Unnamed: 29_level_0 | Bandwidth Parameters | Unnamed: 31_level_0 | Unnamed: 32_level_0 | Unnamed: 33_level_0 | Vocal Fold | Unnamed: 35_level_0 | Unnamed: 36_level_0 | Unnamed: 37_level_0 | Unnamed: 38_level_0 | Unnamed: 39_level_0 | Unnamed: 40_level_0 | Unnamed: 41_level_0 | Unnamed: 42_level_0 | Unnamed: 43_level_0 | Unnamed: 44_level_0 | Unnamed: 45_level_0 | Unnamed: 46_level_0 | Unnamed: 47_level_0 | Unnamed: 48_level_0 | Unnamed: 49_level_0 | Unnamed: 50_level_0 | Unnamed: 51_level_0 | Unnamed: 52_level_0 | Unnamed: 53_level_0 | Unnamed: 54_level_0 | Unnamed: 55_level_0 | MFCC | Unnamed: 57_level_0 | Unnamed: 58_level_0 | Unnamed: 59_level_0 | Unnamed: 60_level_0 | Unnamed: 61_level_0 | Unnamed: 62_level_0 | Unnamed: 63_level_0 | Unnamed: 64_level_0 | Unnamed: 65_level_0 | Unnamed: 66_level_0 | Unnamed: 67_level_0 | Unnamed: 68_level_0 | Unnamed: 69_level_0 | Unnamed: 70_level_0 | Unnamed: 71_level_0 | Unnamed: 72_level_0 | Unnamed: 73_level_0 | Unnamed: 74_level_0 | Unnamed: 75_level_0 | Unnamed: 76_level_0 | Unnamed: 77_level_0 | Unnamed: 78_level_0 | Unnamed: 79_level_0 | Unnamed: 80_level_0 | Unnamed: 81_level_0 | Unnamed: 82_level_0 | Unnamed: 83_level_0 | Unnamed: 84_level_0 | Unnamed: 85_level_0 | Unnamed: 86_level_0 | Unnamed: 87_level_0 | Unnamed: 88_level_0 | Unnamed: 89_level_0 | Unnamed: 90_level_0 | Unnamed: 91_level_0 | Unnamed: 92_level_0 | Unnamed: 93_level_0 | Unnamed: 94_level_0 | Unnamed: 95_level_0 | Unnamed: 96_level_0 | Unnamed: 97_level_0 | Unnamed: 98_level_0 | Unnamed: 99_level_0 | Unnamed: 100_level_0 | Unnamed: 101_level_0 | Unnamed: 102_level_0 | Unnamed: 103_level_0 | Unnamed: 104_level_0 | Unnamed: 105_level_0 | Unnamed: 106_level_0 | Unnamed: 107_level_0 | Unnamed: 108_level_0 | Unnamed: 109_level_0 | Unnamed: 110_level_0 | Unnamed: 111_level_0 | Unnamed: 112_level_0 | Unnamed: 113_level_0 | Unnamed: 114_level_0 | Unnamed: 115_level_0 | Unnamed: 116_level_0 | Unnamed: 117_level_0 | Unnamed: 118_level_0 | Unnamed: 119_level_0 | Unnamed: 120_level_0 | Unnamed: 121_level_0 | Unnamed: 122_level_0 | Unnamed: 123_level_0 | Unnamed: 124_level_0 | Unnamed: 125_level_0 | Unnamed: 126_level_0 | Unnamed: 127_level_0 | Unnamed: 128_level_0 | Unnamed: 129_level_0 | Unnamed: 130_level_0 | Unnamed: 131_level_0 | Unnamed: 132_level_0 | Unnamed: 133_level_0 | Unnamed: 134_level_0 | Unnamed: 135_level_0 | Unnamed: 136_level_0 | Unnamed: 137_level_0 | Unnamed: 138_level_0 | Unnamed: 139_level_0 | Wavelet Features | Unnamed: 141_level_0 | Unnamed: 142_level_0 | Unnamed: 143_level_0 | Unnamed: 144_level_0 | Unnamed: 145_level_0 | Unnamed: 146_level_0 | Unnamed: 147_level_0 | Unnamed: 148_level_0 | Unnamed: 149_level_0 | Unnamed: 150_level_0 | Unnamed: 151_level_0 | Unnamed: 152_level_0 | Unnamed: 153_level_0 | Unnamed: 154_level_0 | Unnamed: 155_level_0 | Unnamed: 156_level_0 | Unnamed: 157_level_0 | Unnamed: 158_level_0 | Unnamed: 159_level_0 | Unnamed: 160_level_0 | Unnamed: 161_level_0 | Unnamed: 162_level_0 | Unnamed: 163_level_0 | Unnamed: 164_level_0 | Unnamed: 165_level_0 | Unnamed: 166_level_0 | Unnamed: 167_level_0 | Unnamed: 168_level_0 | Unnamed: 169_level_0 | Unnamed: 170_level_0 | Unnamed: 171_level_0 | Unnamed: 172_level_0 | Unnamed: 173_level_0 | Unnamed: 174_level_0 | Unnamed: 175_level_0 | Unnamed: 176_level_0 | Unnamed: 177_level_0 | Unnamed: 178_level_0 | Unnamed: 179_level_0 | Unnamed: 180_level_0 | Unnamed: 181_level_0 | Unnamed: 182_level_0 | Unnamed: 183_level_0 | Unnamed: 184_level_0 | Unnamed: 185_level_0 | Unnamed: 186_level_0 | Unnamed: 187_level_0 | Unnamed: 188_level_0 | Unnamed: 189_level_0 | Unnamed: 190_level_0 | Unnamed: 191_level_0 | Unnamed: 192_level_0 | Unnamed: 193_level_0 | Unnamed: 194_level_0 | Unnamed: 195_level_0 | Unnamed: 196_level_0 | Unnamed: 197_level_0 | Unnamed: 198_level_0 | Unnamed: 199_level_0 | Unnamed: 200_level_0 | Unnamed: 201_level_0 | Unnamed: 202_level_0 | Unnamed: 203_level_0 | Unnamed: 204_level_0 | Unnamed: 205_level_0 | Unnamed: 206_level_0 | Unnamed: 207_level_0 | Unnamed: 208_level_0 | Unnamed: 209_level_0 | Unnamed: 210_level_0 | Unnamed: 211_level_0 | Unnamed: 212_level_0 | Unnamed: 213_level_0 | Unnamed: 214_level_0 | Unnamed: 215_level_0 | Unnamed: 216_level_0 | Unnamed: 217_level_0 | Unnamed: 218_level_0 | Unnamed: 219_level_0 | Unnamed: 220_level_0 | Unnamed: 221_level_0 | Unnamed: 222_level_0 | Unnamed: 223_level_0 | Unnamed: 224_level_0 | Unnamed: 225_level_0 | Unnamed: 226_level_0 | Unnamed: 227_level_0 | Unnamed: 228_level_0 | Unnamed: 229_level_0 | Unnamed: 230_level_0 | Unnamed: 231_level_0 | Unnamed: 232_level_0 | Unnamed: 233_level_0 | Unnamed: 234_level_0 | Unnamed: 235_level_0 | Unnamed: 236_level_0 | Unnamed: 237_level_0 | Unnamed: 238_level_0 | Unnamed: 239_level_0 | Unnamed: 240_level_0 | Unnamed: 241_level_0 | Unnamed: 242_level_0 | Unnamed: 243_level_0 | Unnamed: 244_level_0 | Unnamed: 245_level_0 | Unnamed: 246_level_0 | Unnamed: 247_level_0 | Unnamed: 248_level_0 | Unnamed: 249_level_0 | ... | Unnamed: 505_level_0 | Unnamed: 506_level_0 | Unnamed: 507_level_0 | Unnamed: 508_level_0 | Unnamed: 509_level_0 | Unnamed: 510_level_0 | Unnamed: 511_level_0 | Unnamed: 512_level_0 | Unnamed: 513_level_0 | Unnamed: 514_level_0 | Unnamed: 515_level_0 | Unnamed: 516_level_0 | Unnamed: 517_level_0 | Unnamed: 518_level_0 | Unnamed: 519_level_0 | Unnamed: 520_level_0 | Unnamed: 521_level_0 | Unnamed: 522_level_0 | Unnamed: 523_level_0 | Unnamed: 524_level_0 | Unnamed: 525_level_0 | Unnamed: 526_level_0 | Unnamed: 527_level_0 | Unnamed: 528_level_0 | Unnamed: 529_level_0 | Unnamed: 530_level_0 | Unnamed: 531_level_0 | Unnamed: 532_level_0 | Unnamed: 533_level_0 | Unnamed: 534_level_0 | Unnamed: 535_level_0 | Unnamed: 536_level_0 | Unnamed: 537_level_0 | Unnamed: 538_level_0 | Unnamed: 539_level_0 | Unnamed: 540_level_0 | Unnamed: 541_level_0 | Unnamed: 542_level_0 | Unnamed: 543_level_0 | Unnamed: 544_level_0 | Unnamed: 545_level_0 | Unnamed: 546_level_0 | Unnamed: 547_level_0 | Unnamed: 548_level_0 | Unnamed: 549_level_0 | Unnamed: 550_level_0 | Unnamed: 551_level_0 | Unnamed: 552_level_0 | Unnamed: 553_level_0 | Unnamed: 554_level_0 | Unnamed: 555_level_0 | Unnamed: 556_level_0 | Unnamed: 557_level_0 | Unnamed: 558_level_0 | Unnamed: 559_level_0 | Unnamed: 560_level_0 | Unnamed: 561_level_0 | Unnamed: 562_level_0 | Unnamed: 563_level_0 | Unnamed: 564_level_0 | Unnamed: 565_level_0 | Unnamed: 566_level_0 | Unnamed: 567_level_0 | Unnamed: 568_level_0 | Unnamed: 569_level_0 | Unnamed: 570_level_0 | Unnamed: 571_level_0 | Unnamed: 572_level_0 | Unnamed: 573_level_0 | Unnamed: 574_level_0 | Unnamed: 575_level_0 | Unnamed: 576_level_0 | Unnamed: 577_level_0 | Unnamed: 578_level_0 | Unnamed: 579_level_0 | Unnamed: 580_level_0 | Unnamed: 581_level_0 | Unnamed: 582_level_0 | Unnamed: 583_level_0 | Unnamed: 584_level_0 | Unnamed: 585_level_0 | Unnamed: 586_level_0 | Unnamed: 587_level_0 | Unnamed: 588_level_0 | Unnamed: 589_level_0 | Unnamed: 590_level_0 | Unnamed: 591_level_0 | Unnamed: 592_level_0 | Unnamed: 593_level_0 | Unnamed: 594_level_0 | Unnamed: 595_level_0 | Unnamed: 596_level_0 | Unnamed: 597_level_0 | Unnamed: 598_level_0 | Unnamed: 599_level_0 | Unnamed: 600_level_0 | Unnamed: 601_level_0 | Unnamed: 602_level_0 | Unnamed: 603_level_0 | Unnamed: 604_level_0 | Unnamed: 605_level_0 | Unnamed: 606_level_0 | Unnamed: 607_level_0 | Unnamed: 608_level_0 | Unnamed: 609_level_0 | Unnamed: 610_level_0 | Unnamed: 611_level_0 | Unnamed: 612_level_0 | Unnamed: 613_level_0 | Unnamed: 614_level_0 | Unnamed: 615_level_0 | Unnamed: 616_level_0 | Unnamed: 617_level_0 | Unnamed: 618_level_0 | Unnamed: 619_level_0 | Unnamed: 620_level_0 | Unnamed: 621_level_0 | Unnamed: 622_level_0 | Unnamed: 623_level_0 | Unnamed: 624_level_0 | Unnamed: 625_level_0 | Unnamed: 626_level_0 | Unnamed: 627_level_0 | Unnamed: 628_level_0 | Unnamed: 629_level_0 | Unnamed: 630_level_0 | Unnamed: 631_level_0 | Unnamed: 632_level_0 | Unnamed: 633_level_0 | Unnamed: 634_level_0 | Unnamed: 635_level_0 | Unnamed: 636_level_0 | Unnamed: 637_level_0 | Unnamed: 638_level_0 | Unnamed: 639_level_0 | Unnamed: 640_level_0 | Unnamed: 641_level_0 | Unnamed: 642_level_0 | Unnamed: 643_level_0 | Unnamed: 644_level_0 | Unnamed: 645_level_0 | Unnamed: 646_level_0 | Unnamed: 647_level_0 | Unnamed: 648_level_0 | Unnamed: 649_level_0 | Unnamed: 650_level_0 | Unnamed: 651_level_0 | Unnamed: 652_level_0 | Unnamed: 653_level_0 | Unnamed: 654_level_0 | Unnamed: 655_level_0 | Unnamed: 656_level_0 | Unnamed: 657_level_0 | Unnamed: 658_level_0 | Unnamed: 659_level_0 | Unnamed: 660_level_0 | Unnamed: 661_level_0 | Unnamed: 662_level_0 | Unnamed: 663_level_0 | Unnamed: 664_level_0 | Unnamed: 665_level_0 | Unnamed: 666_level_0 | Unnamed: 667_level_0 | Unnamed: 668_level_0 | Unnamed: 669_level_0 | Unnamed: 670_level_0 | Unnamed: 671_level_0 | Unnamed: 672_level_0 | Unnamed: 673_level_0 | Unnamed: 674_level_0 | Unnamed: 675_level_0 | Unnamed: 676_level_0 | Unnamed: 677_level_0 | Unnamed: 678_level_0 | Unnamed: 679_level_0 | Unnamed: 680_level_0 | Unnamed: 681_level_0 | Unnamed: 682_level_0 | Unnamed: 683_level_0 | Unnamed: 684_level_0 | Unnamed: 685_level_0 | Unnamed: 686_level_0 | Unnamed: 687_level_0 | Unnamed: 688_level_0 | Unnamed: 689_level_0 | Unnamed: 690_level_0 | Unnamed: 691_level_0 | Unnamed: 692_level_0 | Unnamed: 693_level_0 | Unnamed: 694_level_0 | Unnamed: 695_level_0 | Unnamed: 696_level_0 | Unnamed: 697_level_0 | Unnamed: 698_level_0 | Unnamed: 699_level_0 | Unnamed: 700_level_0 | Unnamed: 701_level_0 | Unnamed: 702_level_0 | Unnamed: 703_level_0 | Unnamed: 704_level_0 | Unnamed: 705_level_0 | Unnamed: 706_level_0 | Unnamed: 707_level_0 | Unnamed: 708_level_0 | Unnamed: 709_level_0 | Unnamed: 710_level_0 | Unnamed: 711_level_0 | Unnamed: 712_level_0 | Unnamed: 713_level_0 | Unnamed: 714_level_0 | Unnamed: 715_level_0 | Unnamed: 716_level_0 | Unnamed: 717_level_0 | Unnamed: 718_level_0 | Unnamed: 719_level_0 | Unnamed: 720_level_0 | Unnamed: 721_level_0 | Unnamed: 722_level_0 | Unnamed: 723_level_0 | Unnamed: 724_level_0 | Unnamed: 725_level_0 | Unnamed: 726_level_0 | Unnamed: 727_level_0 | Unnamed: 728_level_0 | Unnamed: 729_level_0 | Unnamed: 730_level_0 | Unnamed: 731_level_0 | Unnamed: 732_level_0 | Unnamed: 733_level_0 | Unnamed: 734_level_0 | Unnamed: 735_level_0 | Unnamed: 736_level_0 | Unnamed: 737_level_0 | Unnamed: 738_level_0 | Unnamed: 739_level_0 | Unnamed: 740_level_0 | Unnamed: 741_level_0 | Unnamed: 742_level_0 | Unnamed: 743_level_0 | Unnamed: 744_level_0 | Unnamed: 745_level_0 | Unnamed: 746_level_0 | Unnamed: 747_level_0 | Unnamed: 748_level_0 | Unnamed: 749_level_0 | Unnamed: 750_level_0 | Unnamed: 751_level_0 | Unnamed: 752_level_0 | Unnamed: 753_level_0 | Unnamed: 754_level_0 | |
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| id | gender | PPE | DFA | RPDE | numPulses | numPeriodsPulses | meanPeriodPulses | stdDevPeriodPulses | locPctJitter | locAbsJitter | rapJitter | ppq5Jitter | ddpJitter | locShimmer | locDbShimmer | apq3Shimmer | apq5Shimmer | apq11Shimmer | ddaShimmer | meanAutoCorrHarmonicity | meanNoiseToHarmHarmonicity | meanHarmToNoiseHarmonicity | minIntensity | maxIntensity | meanIntensity | f1 | f2 | f3 | f4 | b1 | b2 | b3 | b4 | GQ_prc5_95 | GQ_std_cycle_open | GQ_std_cycle_closed | GNE_mean | GNE_std | GNE_SNR_TKEO | GNE_SNR_SEO | GNE_NSR_TKEO | GNE_NSR_SEO | VFER_mean | VFER_std | VFER_entropy | VFER_SNR_TKEO | VFER_SNR_SEO | VFER_NSR_TKEO | VFER_NSR_SEO | IMF_SNR_SEO | IMF_SNR_TKEO | IMF_SNR_entropy | IMF_NSR_SEO | IMF_NSR_TKEO | IMF_NSR_entropy | mean_Log_energy | mean_MFCC_0th_coef | mean_MFCC_1st_coef | mean_MFCC_2nd_coef | mean_MFCC_3rd_coef | mean_MFCC_4th_coef | mean_MFCC_5th_coef | mean_MFCC_6th_coef | mean_MFCC_7th_coef | mean_MFCC_8th_coef | mean_MFCC_9th_coef | mean_MFCC_10th_coef | mean_MFCC_11th_coef | mean_MFCC_12th_coef | mean_delta_log_energy | mean_0th_delta | mean_1st_delta | mean_2nd_delta | mean_3rd_delta | mean_4th_delta | mean_5th_delta | mean_6th_delta | mean_7th_delta | mean_8th_delta | mean_9th_delta | mean_10th_delta | mean_11th_delta | mean_12th_delta | mean_delta_delta_log_energy | mean_delta_delta_0th | mean_1st_delta_delta | mean_2nd_delta_delta | mean_3rd_delta_delta | mean_4th_delta_delta | mean_5th_delta_delta | mean_6th_delta_delta | mean_7th_delta_delta | mean_8th_delta_delta | mean_9th_delta_delta | mean_10th_delta_delta | mean_11th_delta_delta | mean_12th_delta_delta | std_Log_energy | std_MFCC_0th_coef | std_MFCC_1st_coef | std_MFCC_2nd_coef | std_MFCC_3rd_coef | std_MFCC_4th_coef | std_MFCC_5th_coef | std_MFCC_6th_coef | std_MFCC_7th_coef | std_MFCC_8th_coef | std_MFCC_9th_coef | std_MFCC_10th_coef | std_MFCC_11th_coef | std_MFCC_12th_coef | std_delta_log_energy | std_0th_delta | std_1st_delta | std_2nd_delta | std_3rd_delta | std_4th_delta | std_5th_delta | std_6th_delta | std_7th_delta | std_8th_delta | std_9th_delta | std_10th_delta | std_11th_delta | std_12th_delta | std_delta_delta_log_energy | std_delta_delta_0th | std_1st_delta_delta | std_2nd_delta_delta | std_3rd_delta_delta | std_4th_delta_delta | std_5th_delta_delta | std_6th_delta_delta | std_7th_delta_delta | std_8th_delta_delta | std_9th_delta_delta | std_10th_delta_delta | std_11th_delta_delta | std_12th_delta_delta | Ea | Ed_1_coef | Ed_2_coef | Ed_3_coef | Ed_4_coef | Ed_5_coef | Ed_6_coef | Ed_7_coef | Ed_8_coef | Ed_9_coef | Ed_10_coef | det_entropy_shannon_1_coef | det_entropy_shannon_2_coef | det_entropy_shannon_3_coef | det_entropy_shannon_4_coef | det_entropy_shannon_5_coef | det_entropy_shannon_6_coef | det_entropy_shannon_7_coef | det_entropy_shannon_8_coef | det_entropy_shannon_9_coef | det_entropy_shannon_10_coef | det_entropy_log_1_coef | det_entropy_log_2_coef | det_entropy_log_3_coef | det_entropy_log_4_coef | det_entropy_log_5_coef | det_entropy_log_6_coef | det_entropy_log_7_coef | det_entropy_log_8_coef | det_entropy_log_9_coef | det_entropy_log_10_coef | det_TKEO_mean_1_coef | det_TKEO_mean_2_coef | det_TKEO_mean_3_coef | det_TKEO_mean_4_coef | det_TKEO_mean_5_coef | det_TKEO_mean_6_coef | det_TKEO_mean_7_coef | det_TKEO_mean_8_coef | det_TKEO_mean_9_coef | det_TKEO_mean_10_coef | det_TKEO_std_1_coef | det_TKEO_std_2_coef | det_TKEO_std_3_coef | det_TKEO_std_4_coef | det_TKEO_std_5_coef | det_TKEO_std_6_coef | det_TKEO_std_7_coef | det_TKEO_std_8_coef | det_TKEO_std_9_coef | det_TKEO_std_10_coef | app_entropy_shannon_1_coef | app_entropy_shannon_2_coef | app_entropy_shannon_3_coef | app_entropy_shannon_4_coef | app_entropy_shannon_5_coef | app_entropy_shannon_6_coef | app_entropy_shannon_7_coef | app_entropy_shannon_8_coef | app_entropy_shannon_9_coef | app_entropy_shannon_10_coef | app_entropy_log_1_coef | app_entropy_log_2_coef | app_entropy_log_3_coef | app_entropy_log_4_coef | app_entropy_log_5_coef | app_entropy_log_6_coef | app_entropy_log_7_coef | app_entropy_log_8_coef | app_entropy_log_9_coef | app_entropy_log_10_coef | app_det_TKEO_mean_1_coef | app_det_TKEO_mean_2_coef | app_det_TKEO_mean_3_coef | app_det_TKEO_mean_4_coef | app_det_TKEO_mean_5_coef | app_det_TKEO_mean_6_coef | app_det_TKEO_mean_7_coef | app_det_TKEO_mean_8_coef | app_det_TKEO_mean_9_coef | app_det_TKEO_mean_10_coef | app_TKEO_std_1_coef | app_TKEO_std_2_coef | app_TKEO_std_3_coef | app_TKEO_std_4_coef | app_TKEO_std_5_coef | app_TKEO_std_6_coef | app_TKEO_std_7_coef | app_TKEO_std_8_coef | app_TKEO_std_9_coef | app_TKEO_std_10_coef | Ea2 | Ed2_1_coef | Ed2_2_coef | Ed2_3_coef | Ed2_4_coef | Ed2_5_coef | Ed2_6_coef | Ed2_7_coef | Ed2_8_coef | Ed2_9_coef | Ed2_10_coef | det_LT_entropy_shannon_1_coef | det_LT_entropy_shannon_2_coef | det_LT_entropy_shannon_3_coef | det_LT_entropy_shannon_4_coef | det_LT_entropy_shannon_5_coef | det_LT_entropy_shannon_6_coef | det_LT_entropy_shannon_7_coef | det_LT_entropy_shannon_8_coef | ... | tqwt_medianValue_dec_4 | tqwt_medianValue_dec_5 | tqwt_medianValue_dec_6 | tqwt_medianValue_dec_7 | tqwt_medianValue_dec_8 | tqwt_medianValue_dec_9 | tqwt_medianValue_dec_10 | tqwt_medianValue_dec_11 | tqwt_medianValue_dec_12 | tqwt_medianValue_dec_13 | tqwt_medianValue_dec_14 | tqwt_medianValue_dec_15 | tqwt_medianValue_dec_16 | tqwt_medianValue_dec_17 | tqwt_medianValue_dec_18 | tqwt_medianValue_dec_19 | tqwt_medianValue_dec_20 | tqwt_medianValue_dec_21 | tqwt_medianValue_dec_22 | tqwt_medianValue_dec_23 | tqwt_medianValue_dec_24 | tqwt_medianValue_dec_25 | tqwt_medianValue_dec_26 | tqwt_medianValue_dec_27 | tqwt_medianValue_dec_28 | tqwt_medianValue_dec_29 | tqwt_medianValue_dec_30 | tqwt_medianValue_dec_31 | tqwt_medianValue_dec_32 | tqwt_medianValue_dec_33 | tqwt_medianValue_dec_34 | tqwt_medianValue_dec_35 | tqwt_medianValue_dec_36 | tqwt_meanValue_dec_1 | tqwt_meanValue_dec_2 | tqwt_meanValue_dec_3 | tqwt_meanValue_dec_4 | tqwt_meanValue_dec_5 | tqwt_meanValue_dec_6 | tqwt_meanValue_dec_7 | tqwt_meanValue_dec_8 | tqwt_meanValue_dec_9 | tqwt_meanValue_dec_10 | tqwt_meanValue_dec_11 | tqwt_meanValue_dec_12 | tqwt_meanValue_dec_13 | tqwt_meanValue_dec_14 | tqwt_meanValue_dec_15 | tqwt_meanValue_dec_16 | tqwt_meanValue_dec_17 | tqwt_meanValue_dec_18 | tqwt_meanValue_dec_19 | tqwt_meanValue_dec_20 | tqwt_meanValue_dec_21 | tqwt_meanValue_dec_22 | tqwt_meanValue_dec_23 | tqwt_meanValue_dec_24 | tqwt_meanValue_dec_25 | tqwt_meanValue_dec_26 | tqwt_meanValue_dec_27 | tqwt_meanValue_dec_28 | tqwt_meanValue_dec_29 | tqwt_meanValue_dec_30 | tqwt_meanValue_dec_31 | tqwt_meanValue_dec_32 | tqwt_meanValue_dec_33 | tqwt_meanValue_dec_34 | tqwt_meanValue_dec_35 | tqwt_meanValue_dec_36 | tqwt_stdValue_dec_1 | tqwt_stdValue_dec_2 | tqwt_stdValue_dec_3 | tqwt_stdValue_dec_4 | tqwt_stdValue_dec_5 | tqwt_stdValue_dec_6 | tqwt_stdValue_dec_7 | tqwt_stdValue_dec_8 | tqwt_stdValue_dec_9 | tqwt_stdValue_dec_10 | tqwt_stdValue_dec_11 | tqwt_stdValue_dec_12 | tqwt_stdValue_dec_13 | tqwt_stdValue_dec_14 | tqwt_stdValue_dec_15 | tqwt_stdValue_dec_16 | tqwt_stdValue_dec_17 | tqwt_stdValue_dec_18 | tqwt_stdValue_dec_19 | tqwt_stdValue_dec_20 | tqwt_stdValue_dec_21 | tqwt_stdValue_dec_22 | tqwt_stdValue_dec_23 | tqwt_stdValue_dec_24 | tqwt_stdValue_dec_25 | tqwt_stdValue_dec_26 | tqwt_stdValue_dec_27 | tqwt_stdValue_dec_28 | tqwt_stdValue_dec_29 | tqwt_stdValue_dec_30 | tqwt_stdValue_dec_31 | tqwt_stdValue_dec_32 | tqwt_stdValue_dec_33 | tqwt_stdValue_dec_34 | tqwt_stdValue_dec_35 | tqwt_stdValue_dec_36 | tqwt_minValue_dec_1 | tqwt_minValue_dec_2 | tqwt_minValue_dec_3 | tqwt_minValue_dec_4 | tqwt_minValue_dec_5 | tqwt_minValue_dec_6 | tqwt_minValue_dec_7 | tqwt_minValue_dec_8 | tqwt_minValue_dec_9 | tqwt_minValue_dec_10 | tqwt_minValue_dec_11 | tqwt_minValue_dec_12 | tqwt_minValue_dec_13 | tqwt_minValue_dec_14 | tqwt_minValue_dec_15 | tqwt_minValue_dec_16 | tqwt_minValue_dec_17 | tqwt_minValue_dec_18 | tqwt_minValue_dec_19 | tqwt_minValue_dec_20 | tqwt_minValue_dec_21 | tqwt_minValue_dec_22 | tqwt_minValue_dec_23 | tqwt_minValue_dec_24 | tqwt_minValue_dec_25 | tqwt_minValue_dec_26 | tqwt_minValue_dec_27 | tqwt_minValue_dec_28 | tqwt_minValue_dec_29 | tqwt_minValue_dec_30 | tqwt_minValue_dec_31 | tqwt_minValue_dec_32 | tqwt_minValue_dec_33 | tqwt_minValue_dec_34 | tqwt_minValue_dec_35 | tqwt_minValue_dec_36 | tqwt_maxValue_dec_1 | tqwt_maxValue_dec_2 | tqwt_maxValue_dec_3 | tqwt_maxValue_dec_4 | tqwt_maxValue_dec_5 | tqwt_maxValue_dec_6 | tqwt_maxValue_dec_7 | tqwt_maxValue_dec_8 | tqwt_maxValue_dec_9 | tqwt_maxValue_dec_10 | tqwt_maxValue_dec_11 | tqwt_maxValue_dec_12 | tqwt_maxValue_dec_13 | tqwt_maxValue_dec_14 | tqwt_maxValue_dec_15 | tqwt_maxValue_dec_16 | tqwt_maxValue_dec_17 | tqwt_maxValue_dec_18 | tqwt_maxValue_dec_19 | tqwt_maxValue_dec_20 | tqwt_maxValue_dec_21 | tqwt_maxValue_dec_22 | tqwt_maxValue_dec_23 | tqwt_maxValue_dec_24 | tqwt_maxValue_dec_25 | tqwt_maxValue_dec_26 | tqwt_maxValue_dec_27 | tqwt_maxValue_dec_28 | tqwt_maxValue_dec_29 | tqwt_maxValue_dec_30 | tqwt_maxValue_dec_31 | tqwt_maxValue_dec_32 | tqwt_maxValue_dec_33 | tqwt_maxValue_dec_34 | tqwt_maxValue_dec_35 | tqwt_maxValue_dec_36 | tqwt_skewnessValue_dec_1 | tqwt_skewnessValue_dec_2 | tqwt_skewnessValue_dec_3 | tqwt_skewnessValue_dec_4 | tqwt_skewnessValue_dec_5 | tqwt_skewnessValue_dec_6 | tqwt_skewnessValue_dec_7 | tqwt_skewnessValue_dec_8 | tqwt_skewnessValue_dec_9 | tqwt_skewnessValue_dec_10 | tqwt_skewnessValue_dec_11 | tqwt_skewnessValue_dec_12 | tqwt_skewnessValue_dec_13 | tqwt_skewnessValue_dec_14 | tqwt_skewnessValue_dec_15 | tqwt_skewnessValue_dec_16 | tqwt_skewnessValue_dec_17 | tqwt_skewnessValue_dec_18 | tqwt_skewnessValue_dec_19 | tqwt_skewnessValue_dec_20 | tqwt_skewnessValue_dec_21 | tqwt_skewnessValue_dec_22 | tqwt_skewnessValue_dec_23 | tqwt_skewnessValue_dec_24 | tqwt_skewnessValue_dec_25 | tqwt_skewnessValue_dec_26 | tqwt_skewnessValue_dec_27 | tqwt_skewnessValue_dec_28 | tqwt_skewnessValue_dec_29 | tqwt_skewnessValue_dec_30 | tqwt_skewnessValue_dec_31 | tqwt_skewnessValue_dec_32 | tqwt_skewnessValue_dec_33 | tqwt_skewnessValue_dec_34 | tqwt_skewnessValue_dec_35 | tqwt_skewnessValue_dec_36 | tqwt_kurtosisValue_dec_1 | tqwt_kurtosisValue_dec_2 | tqwt_kurtosisValue_dec_3 | tqwt_kurtosisValue_dec_4 | tqwt_kurtosisValue_dec_5 | tqwt_kurtosisValue_dec_6 | tqwt_kurtosisValue_dec_7 | tqwt_kurtosisValue_dec_8 | tqwt_kurtosisValue_dec_9 | tqwt_kurtosisValue_dec_10 | tqwt_kurtosisValue_dec_11 | tqwt_kurtosisValue_dec_12 | tqwt_kurtosisValue_dec_13 | tqwt_kurtosisValue_dec_14 | tqwt_kurtosisValue_dec_15 | tqwt_kurtosisValue_dec_16 | tqwt_kurtosisValue_dec_17 | tqwt_kurtosisValue_dec_18 | tqwt_kurtosisValue_dec_19 | tqwt_kurtosisValue_dec_20 | tqwt_kurtosisValue_dec_21 | tqwt_kurtosisValue_dec_22 | tqwt_kurtosisValue_dec_23 | tqwt_kurtosisValue_dec_24 | tqwt_kurtosisValue_dec_25 | tqwt_kurtosisValue_dec_26 | tqwt_kurtosisValue_dec_27 | tqwt_kurtosisValue_dec_28 | tqwt_kurtosisValue_dec_29 | tqwt_kurtosisValue_dec_30 | tqwt_kurtosisValue_dec_31 | tqwt_kurtosisValue_dec_32 | tqwt_kurtosisValue_dec_33 | tqwt_kurtosisValue_dec_34 | tqwt_kurtosisValue_dec_35 | tqwt_kurtosisValue_dec_36 | class | |
| 0 | 0 | 1 | 0.85247 | 0.71826 | 0.57227 | 240 | 239 | 0.008064 | 0.000087 | 0.00218 | 0.000018 | 0.00067 | 0.00129 | 0.00200 | 0.05883 | 0.517 | 0.03011 | 0.03496 | 0.04828 | 0.09034 | 0.970805 | 0.036223 | 18.995 | 69.997496 | 76.088046 | 72.465512 | 539.342735 | 1031.849040 | 2447.162183 | 3655.054806 | 101.092218 | 83.147440 | 255.214830 | 396.643631 | 0.77778 | 11.7245 | 2.8277 | 1.17300 | 0.26512 | 0.083127 | 1200445.612 | 1.5347 | 3.0152 | 0.000463 | 0.000260 | 0.83621 | 209.6062 | 455.9654 | 1.2825 | 1.3305 | 51.6843 | 5.7784 | 23.2610 | 0.26850 | 5.8573 | 0.20023 | 9.1817 | 11.4283 | 8.4781 | 2.4874 | 0.02292 | 0.55527 | -1.6334 | -1.51440 | 0.39725 | 0.61775 | 0.091821 | 0.54775 | -0.006825 | -0.672740 | -0.001013 | -0.000075 | -0.003364 | -0.000192 | 0.001357 | -0.000900 | -0.003002 | 0.001548 | 0.005187 | -0.000205 | -0.004737 | 0.002465 | 0.002514 | -0.001187 | -0.000179 | -0.000828 | -0.000498 | 0.001386 | 0.000173 | -0.000286 | 0.000428 | -0.000044 | -0.000338 | 0.000430 | 0.000038 | -0.000356 | -0.000076 | 0.000027 | 0.34158 | 1.02790 | 0.65735 | 0.78036 | 0.30141 | 0.35418 | 0.19127 | 0.22892 | 0.33550 | 0.17101 | 0.28111 | 0.21511 | 0.16605 | 0.17762 | 0.049933 | 0.17226 | 0.089754 | 0.146270 | 0.040231 | 0.060808 | 0.030284 | 0.028830 | 0.042253 | 0.028115 | 0.047180 | 0.035775 | 0.020827 | 0.023057 | 0.016392 | 0.078800 | 0.043847 | 0.066410 | 0.021565 | 0.029594 | 0.015351 | 0.014642 | 0.019681 | 0.012829 | 0.021703 | 0.017089 | 0.010043 | 0.012130 | 99.9996 | 1.530000e-07 | 8.860000e-07 | 0.000007 | 0.000021 | 0.000102 | 0.000013 | 0.000041 | 0.000027 | 0.000010 | 0.000202 | 1.7166 | 5.5625 | 0.04894 | -7.221920e+01 | -8.669373e+02 | -5.453350e+01 | -3.199468e+02 | -1.652570e+02 | -4.297050e+01 | -2.336364e+03 | -779.1377 | -290.2080 | -78.3447 | -10.7944 | 10.5089 | -46.3816 | -35.9347 | -46.8515 | -31.2923 | -18.7456 | 0.002486 | 0.028150 | 0.32455 | 1.5948 | 7.7828 | 2.3013 | 5.66280 | 3.568300 | 2.03020 | 44.7582 | 0.005012 | 0.046228 | 0.68635 | 3.5072 | 26.1213 | 3.7358 | 15.28300 | 9.20280 | 4.78870 | 89.7670 | -34415952.86 | -41505780.29 | -54991273.00 | -7.977922e+07 | -129684181.7 | -232253303.7 | -459058057.8 | -902118385.7 | -1.886559e+09 | -3937753319 | 1116.2921 | 672.8105 | 445.4876 | 322.8542 | 262.2272 | 234.6861 | 231.9690 | 227.8718 | 238.2690 | 248.6663 | 572.1636 | 2023.8169 | 6477.7714 | 18923.0837 | 49173.8993 | 115701.9285 | 245931.5887 | 524800.1114 | 1.049747e+06 | 2101636.245 | 4181.8549 | 11092.1222 | 27917.7341 | 67151.7571 | 151463.1285 | 326874.1892 | 6.720895e+05 | 1381934.183 | 2777808.879 | 5547195.189 | 100.0000 | 6.590000e-09 | 3.860000e-08 | 3.250000e-07 | 9.050000e-07 | 0.000004 | 5.710000e-07 | 1.730000e-06 | 1.150000e-06 | 4.500000e-07 | 8.710000e-06 | 0.000338 | 0.001691 | 0.011168 | 0.026503 | 0.095478 | 0.016070 | 0.039222 | 0.029105 | ... | 2.840000e-07 | 0.000000e+00 | 9.300000e-07 | -1.270000e-07 | -1.410000e-18 | 0.000009 | -0.000002 | -0.000031 | -9.930000e-19 | -5.560000e-18 | 0.000560 | 0.000010 | 0.000000 | 0.000000 | -6.100000e-17 | -0.000389 | 0.000000 | 3.810000e-17 | 6.150000e-17 | 6.740000e-17 | 0.000000 | 0.000000 | -2.220000e-17 | -0.013372 | 0.056236 | 0.000445 | 2.850000e-19 | 0.000140 | -0.000084 | -0.000169 | -0.000202 | -0.000043 | -0.014320 | -2.890000e-21 | -3.770000e-21 | 1.700000e-22 | -9.180000e-22 | -3.980000e-22 | -2.860000e-21 | -3.520000e-22 | 1.060000e-21 | 1.230000e-20 | -1.360000e-20 | -1.630000e-20 | -2.630000e-21 | 1.840000e-21 | 1.340000e-19 | -2.650000e-20 | 1.820000e-21 | 9.600000e-20 | -7.500000e-20 | -1.060000e-18 | 7.540000e-21 | -6.330000e-20 | -1.250000e-18 | -1.900000e-18 | -2.420000e-19 | 9.380000e-20 | -7.210000e-19 | 1.840000e-18 | -1.850000e-18 | -7.290000e-21 | 2.040000e-20 | 0.000000e+00 | 6.530000e-20 | -2.020000e-20 | 7.960000e-20 | 1.870000e-20 | -0.014610 | 0.000341 | 0.000224 | 0.000273 | 0.000254 | 0.000396 | 0.001007 | 0.002268 | 0.003767 | 0.004215 | 0.004697 | 0.005199 | 0.004324 | 0.013373 | 0.036869 | 0.063087 | 0.078064 | 0.131690 | 0.20354 | 0.19180 | 0.131770 | 0.089375 | 0.164870 | 0.26991 | 0.200990 | 0.091819 | 0.24065 | 0.360970 | 0.21776 | 0.021112 | 0.005276 | 0.004110 | 0.002876 | 0.002711 | 0.002696 | 0.002409 | 0.002966 | -0.009644 | -0.005025 | -0.006491 | -0.006014 | -0.008518 | -0.009241 | -0.016506 | -0.026006 | -0.026273 | -0.024160 | -0.026321 | -0.024286 | -0.048924 | -0.108390 | -0.19432 | -0.29603 | -0.46639 | -0.61778 | -0.59600 | -0.32867 | -0.26301 | -0.44541 | -0.66075 | -0.45846 | -0.24540 | -0.45883 | -0.65524 | -0.36007 | -0.060063 | -0.017824 | -0.013598 | -0.012346 | -0.009196 | -0.006933 | -0.006569 | -0.035389 | 0.014320 | 0.006662 | 0.006491 | 0.007475 | 0.008518 | 0.009443 | 0.016090 | 0.026006 | 0.028117 | 0.025222 | 0.022796 | 0.024286 | 0.048924 | 0.105750 | 0.20486 | 0.29603 | 0.46639 | 0.61778 | 0.59309 | 0.32867 | 0.26301 | 0.44541 | 0.66075 | 0.45846 | 0.24540 | 0.45883 | 0.64375 | 0.39877 | 0.056849 | 0.017824 | 0.014505 | 0.008493 | 0.009728 | 0.006753 | 0.006073 | -0.009046 | 0.86453 | 0.435380 | 1.110000e-15 | 0.367450 | 0.000000e+00 | -0.004310 | -0.005383 | -1.110000e-17 | -0.000829 | 0.001605 | -0.000362 | 1.010000e-15 | -5.850000e-17 | -0.003143 | 0.007433 | 1.510000e-17 | 2.210000e-17 | -9.370000e-18 | 0.000734 | -4.330000e-18 | -4.470000e-17 | -1.390000e-17 | -3.500000e-17 | -4.290000e-19 | -9.660000e-18 | -1.660000e-17 | 0.000115 | -0.102900 | 0.030756 | 7.070000e-17 | -0.086911 | -0.28507 | -0.173620 | 0.071728 | 0.010352 | -2.73030 | 66.5007 | 36.9934 | 26.3508 | 51.9577 | 21.5451 | 8.2488 | 8.0024 | 6.9635 | 6.9189 | 5.0622 | 4.6068 | 7.7218 | 2.7224 | 2.4171 | 2.9383 | 4.2077 | 3.1541 | 2.8531 | 2.7496 | 2.1550 | 2.9457 | 2.1993 | 1.9830 | 1.8314 | 2.0062 | 1.6058 | 1.5466 | 1.5620 | 2.6445 | 3.8686 | 4.2105 | 5.1221 | 4.4625 | 2.6202 | 3.0004 | 18.9405 | 1 |
| 1 | 0 | 1 | 0.76686 | 0.69481 | 0.53966 | 234 | 233 | 0.008258 | 0.000073 | 0.00195 | 0.000016 | 0.00052 | 0.00112 | 0.00157 | 0.05516 | 0.502 | 0.02320 | 0.03675 | 0.06195 | 0.06961 | 0.984322 | 0.017974 | 21.497 | 67.415903 | 73.046374 | 71.528945 | 564.363614 | 1016.367294 | 2383.565201 | 3498.681572 | 58.465428 | 86.487292 | 248.357127 | 218.229722 | 0.81250 | 13.8284 | 2.8908 | 1.02210 | 0.22004 | 0.127410 | 1298455.445 | 1.6029 | 3.0600 | 0.000615 | 0.000295 | 1.04550 | 243.0816 | 379.8429 | 1.3063 | 1.3177 | 24.0230 | 6.7916 | 21.8851 | 0.26839 | 6.2366 | 0.20336 | 9.6074 | 12.1387 | 8.5008 | 2.8986 | -0.46733 | 0.45984 | -1.3427 | -1.67590 | 0.17695 | 0.72944 | 0.236100 | 0.54722 | 0.057552 | -0.395550 | -0.001849 | -0.002700 | -0.002639 | 0.002915 | -0.001179 | -0.000777 | 0.001994 | -0.000110 | -0.000650 | 0.002529 | -0.000354 | -0.002985 | 0.001452 | 0.002505 | 0.000484 | -0.000012 | 0.001386 | -0.000717 | -0.001366 | 0.000163 | -0.000241 | -0.000614 | -0.000112 | -0.000072 | 0.000252 | 0.000260 | 0.000691 | -0.000109 | 0.22994 | 0.92018 | 0.53349 | 0.65764 | 0.30758 | 0.38678 | 0.16571 | 0.29640 | 0.22642 | 0.16785 | 0.21342 | 0.22222 | 0.20581 | 0.23030 | 0.037774 | 0.17047 | 0.072764 | 0.151650 | 0.045076 | 0.076312 | 0.025376 | 0.050259 | 0.037071 | 0.022166 | 0.039071 | 0.030383 | 0.032360 | 0.032486 | 0.014222 | 0.087125 | 0.036786 | 0.077256 | 0.024058 | 0.038709 | 0.012191 | 0.025500 | 0.019374 | 0.010645 | 0.020296 | 0.015389 | 0.015488 | 0.016128 | 99.9998 | 1.680000e-07 | 1.230000e-06 | 0.000012 | 0.000031 | 0.000046 | 0.000036 | 0.000005 | 0.000074 | 0.000009 | 0.000013 | 1.7545 | 5.9143 | -13.88660 | -1.146049e+02 | -2.735543e+02 | -2.104995e+02 | -1.409300e+01 | -6.501035e+02 | -3.585250e+01 | -5.323820e+01 | -758.8078 | -287.4139 | -56.9104 | -2.2495 | -6.0268 | -20.4266 | -55.9988 | -29.4730 | -33.8478 | -22.4413 | 0.003667 | 0.046661 | 0.85597 | 3.7170 | 6.0722 | 5.1009 | 0.93367 | 17.587500 | 1.37380 | 1.8125 | 0.009348 | 0.078964 | 1.32540 | 3.7067 | 11.7870 | 9.2620 | 2.25620 | 31.78930 | 3.23810 | 3.8258 | -32588713.93 | -39329560.14 | -52167450.85 | -7.573630e+07 | -123243056.6 | -220947833.1 | -437011684.1 | -859038700.4 | -1.796706e+09 | -3750669277 | 1110.9296 | 669.8030 | 443.6442 | 321.6040 | 261.2809 | 233.8954 | 231.2326 | 227.1834 | 237.5807 | 247.9779 | 545.9031 | 1936.8183 | 6203.4329 | 18157.1896 | 47222.6429 | 111142.9462 | 236033.1031 | 502899.2766 | 1.005893e+06 | 2012043.365 | 3990.8171 | 10580.7939 | 26814.5173 | 63969.6745 | 145371.1558 | 314467.5684 | 6.427345e+05 | 1327168.357 | 2654568.330 | 5309694.850 | 100.0000 | 7.300000e-09 | 5.390000e-08 | 5.400000e-07 | 1.360000e-06 | 0.000002 | 1.600000e-06 | 2.370000e-07 | 3.260000e-06 | 4.110000e-07 | 5.660000e-07 | 0.000367 | 0.002234 | 0.017408 | 0.038292 | 0.050360 | 0.039943 | 0.007054 | 0.065741 | ... | 4.080000e-07 | 0.000000e+00 | 4.730000e-08 | 2.120000e-06 | -7.470000e-19 | 0.000016 | 0.000020 | 0.000021 | -5.290000e-18 | 1.480000e-18 | -0.000146 | -0.000276 | 0.000000 | 0.000000 | -7.320000e-17 | -0.000052 | 0.000000 | -4.010000e-18 | 3.070000e-17 | 3.850000e-17 | 0.000000 | 0.000000 | -3.790000e-17 | -0.009889 | 0.004587 | 0.000118 | 7.120000e-20 | 0.000026 | -0.000207 | -0.000080 | -0.000158 | 0.000013 | -0.013974 | -1.770000e-21 | 5.660000e-21 | -1.190000e-21 | 1.850000e-20 | 0.000000e+00 | 3.080000e-21 | -1.200000e-20 | 2.010000e-20 | 2.030000e-20 | 3.710000e-20 | -1.680000e-20 | -3.770000e-20 | -4.950000e-20 | 7.580000e-21 | 1.200000e-19 | -4.360000e-20 | -1.180000e-19 | 1.340000e-18 | 3.170000e-18 | 5.660000e-21 | 3.090000e-19 | -1.440000e-19 | 1.390000e-18 | 0.000000e+00 | 1.780000e-19 | 3.150000e-19 | -4.270000e-18 | 1.950000e-18 | 7.770000e-20 | -2.340000e-20 | 9.790000e-20 | -5.890000e-20 | -6.050000e-20 | 2.430000e-20 | -2.920000e-20 | -0.013605 | 0.000494 | 0.000325 | 0.000370 | 0.000383 | 0.000454 | 0.000731 | 0.001530 | 0.002911 | 0.003854 | 0.004451 | 0.005221 | 0.004344 | 0.011184 | 0.031117 | 0.055913 | 0.071183 | 0.128650 | 0.21443 | 0.19515 | 0.102920 | 0.068959 | 0.111710 | 0.19431 | 0.167210 | 0.070714 | 0.18846 | 0.310420 | 0.21896 | 0.029506 | 0.007229 | 0.005498 | 0.004219 | 0.003343 | 0.003103 | 0.003099 | 0.004780 | -0.070360 | -0.031668 | -0.031342 | -0.035671 | -0.039817 | -0.044589 | -0.050361 | -0.056267 | -0.061855 | -0.066933 | -0.070039 | -0.099695 | -0.112210 | -0.101340 | -0.17254 | -0.25945 | -0.34292 | -0.50757 | -0.47909 | -0.25345 | -0.19328 | -0.26291 | -0.36756 | -0.29252 | -0.15110 | -0.34059 | -0.53495 | -0.38570 | -0.135820 | -0.055053 | -0.031383 | -0.019211 | -0.014257 | -0.008747 | -0.007438 | -0.024711 | 0.048874 | 0.024703 | 0.031342 | 0.030946 | 0.039817 | 0.042343 | 0.047920 | 0.056267 | 0.055059 | 0.063234 | 0.080975 | 0.099695 | 0.112210 | 0.121580 | 0.18155 | 0.25945 | 0.34292 | 0.50757 | 0.47634 | 0.25345 | 0.19328 | 0.26291 | 0.36756 | 0.29252 | 0.15110 | 0.34059 | 0.50855 | 0.34973 | 0.092360 | 0.055053 | 0.033916 | 0.021793 | 0.017135 | 0.013696 | 0.013895 | 0.028459 | -32.31440 | -12.680900 | -3.290000e-15 | -7.259300 | -3.830000e-15 | -0.401950 | -0.101740 | 3.350000e-17 | -0.033633 | -0.024050 | 0.178080 | -3.680000e-15 | -2.350000e-17 | 0.006114 | -0.000092 | -7.090000e-18 | -3.910000e-18 | 8.750000e-18 | 0.000330 | -9.330000e-19 | -7.020000e-20 | -1.010000e-17 | 1.520000e-17 | -5.590000e-18 | 8.090000e-18 | -6.280000e-18 | 0.000098 | -0.005679 | -0.205900 | 3.630000e-16 | 0.482840 | 0.50453 | 0.684220 | 0.729330 | 0.780410 | 5.22940 | 8643.9860 | 3962.0554 | 2976.2411 | 4329.0607 | 4005.1329 | 1127.6762 | 116.5331 | 20.2332 | 13.6395 | 12.5514 | 13.6965 | 60.8974 | 6.2958 | 3.0323 | 3.4039 | 4.3794 | 2.4329 | 2.0585 | 2.1839 | 2.2061 | 3.0999 | 1.9824 | 1.6227 | 1.5783 | 2.0470 | 1.5772 | 1.5530 | 1.5589 | 3.6107 | 23.5155 | 14.1962 | 11.0261 | 9.5082 | 6.5245 | 6.3431 | 45.1780 | 1 |
| 2 | 0 | 1 | 0.85083 | 0.67604 | 0.58982 | 232 | 231 | 0.008340 | 0.000060 | 0.00176 | 0.000015 | 0.00057 | 0.00111 | 0.00171 | 0.09902 | 0.897 | 0.05094 | 0.06497 | 0.07772 | 0.15282 | 0.974846 | 0.026313 | 17.651 | 62.661706 | 71.633549 | 68.086583 | 548.444604 | 1032.406341 | 2357.826954 | 3678.128717 | 160.387771 | 54.685168 | 151.694847 | 84.240339 | 0.81818 | 26.9273 | 2.6975 | 0.84951 | 0.15756 | 0.116890 | 1272869.841 | 1.6223 | 3.0309 | 0.000360 | 0.000266 | 0.63668 | 238.5976 | 386.4739 | 1.2614 | 1.3078 | 60.0458 | 11.3376 | 41.7310 | 0.23034 | 4.8081 | 0.17296 | 9.0512 | 11.3956 | 7.6362 | 3.2208 | -0.48228 | 0.28918 | -1.7334 | -1.49290 | 0.70520 | 0.51173 | 0.166150 | 0.79354 | 0.286980 | -0.645550 | 0.001088 | -0.008168 | 0.002542 | 0.007424 | -0.001044 | 0.000177 | -0.000622 | 0.000619 | -0.002684 | -0.000304 | 0.003610 | 0.000217 | -0.000004 | -0.000470 | 0.000354 | 0.000057 | 0.000333 | 0.000741 | -0.000158 | -0.000605 | 0.000025 | -0.000567 | -0.000400 | -0.000037 | 0.000272 | -0.000032 | -0.000166 | -0.000298 | 0.52574 | 0.92039 | 0.53346 | 0.73041 | 0.31337 | 0.44232 | 0.31980 | 0.31467 | 0.30139 | 0.21901 | 0.25827 | 0.22618 | 0.21208 | 0.21200 | 0.109450 | 0.14938 | 0.095065 | 0.151790 | 0.045403 | 0.089970 | 0.060735 | 0.054611 | 0.051511 | 0.032326 | 0.047357 | 0.031811 | 0.036249 | 0.038433 | 0.039709 | 0.068793 | 0.040982 | 0.068545 | 0.024740 | 0.039222 | 0.025675 | 0.024607 | 0.024819 | 0.016553 | 0.023186 | 0.017217 | 0.015073 | 0.016257 | 99.9999 | 1.170000e-07 | 9.450000e-07 | 0.000010 | 0.000034 | 0.000024 | 0.000035 | 0.000002 | 0.000001 | 0.000001 | 0.000016 | 1.3584 | 5.5814 | -1.95310 | -1.373999e+02 | -1.024895e+02 | -1.993564e+02 | 1.124400e+00 | 1.595700e+00 | 1.908000e+00 | -7.653440e+01 | -787.2253 | -282.1190 | -51.3601 | -10.8033 | -20.2164 | -28.7072 | -51.3476 | -49.4374 | -59.2535 | -39.3774 | 0.001819 | 0.024522 | 0.61458 | 3.2812 | 2.4414 | 4.2210 | 0.25417 | 0.097087 | 0.17991 | 3.1849 | 0.003115 | 0.044685 | 0.69551 | 4.5176 | 5.8584 | 9.2128 | 0.49192 | 0.36858 | 0.31332 | 5.9953 | -31864278.37 | -38418848.45 | -50880181.14 | -7.373527e+07 | -119780270.0 | -214375881.7 | -423881698.8 | -832850139.0 | -1.742079e+09 | -3636913180 | 1108.7207 | 668.4952 | 442.7709 | 320.9607 | 260.7518 | 233.4170 | 230.7762 | 226.7479 | 237.1451 | 247.5423 | 536.3497 | 1890.9098 | 6055.5718 | 17702.5791 | 46038.8972 | 108262.1579 | 230020.8923 | 490695.5293 | 9.813527e+05 | 1962144.341 | 3923.9493 | 10408.7249 | 26070.3366 | 62510.6817 | 141953.0747 | 305549.8724 | 6.285763e+05 | 1295706.406 | 2588074.975 | 5177908.600 | 100.0000 | 5.130000e-09 | 4.130000e-08 | 4.530000e-07 | 1.460000e-06 | 0.000001 | 1.510000e-06 | 7.280000e-08 | 5.980000e-08 | 4.820000e-08 | 7.070000e-07 | 0.000268 | 0.001781 | 0.015126 | 0.039745 | 0.028471 | 0.037096 | 0.002528 | 0.002126 | ... | -2.930000e-07 | 0.000000e+00 | 9.400000e-07 | -5.180000e-06 | -5.360000e-19 | 0.000007 | -0.000005 | 0.000017 | -9.790000e-19 | -3.740000e-19 | 0.000045 | 0.000152 | 0.000000 | 0.000000 | -4.580000e-17 | -0.001346 | 0.000000 | -1.190000e-17 | -8.650000e-18 | 1.320000e-17 | 0.000000 | 0.000000 | -1.580000e-17 | 0.004349 | -0.004803 | 0.000143 | 1.420000e-19 | 0.000179 | 0.000005 | -0.000011 | -0.000136 | 0.000163 | -0.014231 | 9.440000e-22 | -5.040000e-22 | -3.290000e-22 | -1.470000e-21 | 2.600000e-22 | 3.100000e-21 | -9.070000e-21 | -2.910000e-22 | -1.050000e-21 | 9.080000e-21 | 7.080000e-22 | 2.580000e-21 | -1.200000e-20 | -1.130000e-19 | 1.470000e-19 | -5.180000e-20 | -7.420000e-20 | 1.050000e-18 | -2.190000e-18 | -6.030000e-20 | 1.760000e-19 | 1.520000e-19 | 9.510000e-19 | 1.880000e-19 | 1.880000e-20 | -2.700000e-19 | -2.120000e-18 | 2.660000e-18 | 1.750000e-19 | 2.340000e-20 | -5.600000e-20 | -1.680000e-20 | 3.530000e-20 | 3.030000e-20 | 2.190000e-20 | -0.014115 | 0.000358 | 0.000210 | 0.000210 | 0.000188 | 0.000243 | 0.000583 | 0.001324 | 0.002199 | 0.002269 | 0.002519 | 0.003136 | 0.002657 | 0.008093 | 0.023083 | 0.041144 | 0.051791 | 0.085754 | 0.14092 | 0.14184 | 0.095104 | 0.041440 | 0.049543 | 0.08761 | 0.080447 | 0.046176 | 0.12795 | 0.216780 | 0.16125 | 0.025637 | 0.006643 | 0.004829 | 0.003522 | 0.003161 | 0.003100 | 0.002819 | 0.002595 | -0.012335 | -0.006522 | -0.006195 | -0.006366 | -0.007157 | -0.008610 | -0.010690 | -0.012677 | -0.013539 | -0.015216 | -0.019435 | -0.026241 | -0.039886 | -0.081836 | -0.15447 | -0.20036 | -0.28375 | -0.47225 | -0.43444 | -0.23779 | -0.13881 | -0.12276 | -0.17184 | -0.21641 | -0.24864 | -0.25490 | -0.35313 | -0.26568 | -0.066929 | -0.038477 | -0.024064 | -0.018601 | -0.012998 | -0.008033 | -0.007471 | -0.020294 | 0.006892 | 0.004570 | 0.006195 | 0.004594 | 0.007157 | 0.005706 | 0.008059 | 0.012677 | 0.012269 | 0.011110 | 0.013810 | 0.026241 | 0.039886 | 0.081818 | 0.17028 | 0.20036 | 0.28375 | 0.47225 | 0.43091 | 0.23779 | 0.13881 | 0.12276 | 0.17184 | 0.21641 | 0.24864 | 0.25490 | 0.36358 | 0.26786 | 0.074982 | 0.038477 | 0.029836 | 0.020569 | 0.011885 | 0.009445 | 0.008165 | -0.002629 | -0.55520 | -0.495120 | -3.420000e-15 | -1.354700 | -4.930000e-15 | -0.190220 | -0.040808 | 7.430000e-17 | -0.016802 | -0.031809 | -0.006751 | 2.320000e-16 | -7.030000e-17 | 0.006447 | -0.005623 | -1.960000e-16 | -2.070000e-17 | -1.000000e-17 | 0.004345 | -8.020000e-18 | 1.200000e-16 | 4.890000e-17 | 3.920000e-17 | 2.460000e-18 | 1.120000e-16 | -1.140000e-17 | 0.000402 | -0.003824 | 0.020236 | -3.900000e-17 | 0.301650 | 0.17050 | -0.060885 | 0.269510 | -0.005522 | 0.35054 | 29.2717 | 32.4971 | 38.9453 | 85.1480 | 62.5132 | 9.7308 | 6.8890 | 6.1357 | 5.4926 | 3.9078 | 4.0864 | 6.9828 | 3.4411 | 3.5173 | 3.7204 | 4.2212 | 3.4881 | 3.4851 | 3.3007 | 2.0427 | 3.1436 | 2.1203 | 1.6627 | 1.6731 | 3.2597 | 1.5921 | 1.5399 | 1.5643 | 2.3308 | 9.4959 | 10.7458 | 11.0177 | 4.8066 | 2.9199 | 3.1495 | 4.7666 | 1 |
| 3 | 1 | 0 | 0.41121 | 0.79672 | 0.59257 | 178 | 177 | 0.010858 | 0.000183 | 0.00419 | 0.000046 | 0.00149 | 0.00268 | 0.00446 | 0.05451 | 0.527 | 0.02395 | 0.02857 | 0.04462 | 0.07185 | 0.968343 | 0.042003 | 19.865 | 76.306989 | 81.000749 | 79.190593 | 819.529588 | 1201.813897 | 3154.035654 | 4122.163933 | 238.667052 | 191.984916 | 573.752909 | 526.147599 | 0.98548 | 139.5744 | 1.6961 | 0.83405 | 0.17295 | 0.147370 | 1932289.206 | 1.6717 | 3.0293 | 0.000196 | 0.000194 | 0.45452 | 79.0921 | 161.1054 | 1.2369 | 1.2986 | 83.6201 | 5.0784 | 35.8179 | 0.23529 | 4.2629 | 0.17510 | 9.8453 | 13.7399 | 6.7365 | 3.1023 | 0.75419 | -1.55900 | -1.0083 | -0.65556 | 0.86495 | 1.48370 | -0.153650 | -0.89378 | -0.754270 | 0.077452 | -0.000720 | -0.007600 | 0.001532 | 0.000650 | 0.001284 | -0.000516 | 0.001438 | 0.000310 | -0.001449 | -0.000706 | 0.000487 | -0.002997 | -0.000970 | 0.001058 | -0.000112 | 0.000653 | -0.001144 | 0.000094 | 0.000218 | 0.000617 | -0.000823 | 0.000195 | 0.000263 | -0.000232 | 0.000467 | 0.000103 | -0.000132 | -0.000080 | 0.21182 | 1.07120 | 0.70803 | 0.59415 | 0.38868 | 0.27861 | 0.31571 | 0.20935 | 0.23498 | 0.24529 | 0.19689 | 0.20629 | 0.20627 | 0.25169 | 0.039296 | 0.18326 | 0.099350 | 0.072753 | 0.046507 | 0.046017 | 0.045901 | 0.035774 | 0.035142 | 0.032577 | 0.024291 | 0.032300 | 0.029051 | 0.037164 | 0.015560 | 0.074119 | 0.040403 | 0.030155 | 0.019442 | 0.018382 | 0.018555 | 0.017274 | 0.016129 | 0.015533 | 0.011976 | 0.015529 | 0.013770 | 0.015713 | 99.0823 | 8.545600e-03 | 2.058600e-02 | 0.025449 | 0.041488 | 0.062341 | 0.090279 | 0.133310 | 0.234650 | 0.067636 | 0.233380 | -97087.3060 | -279305.8601 | -347307.97100 | -6.050877e+05 | -1.018351e+06 | -1.571526e+06 | -2.432333e+06 | -4.520939e+06 | -1.187850e+06 | -4.571330e+06 | -328.3795 | 105.9933 | 118.3538 | 145.1279 | 127.0736 | 115.1613 | 99.4862 | 102.5224 | 94.2247 | 109.5148 | 129.933600 | 383.699000 | 1077.80440 | 2857.1343 | 3233.2456 | 8715.5558 | 12621.05520 | 41833.392000 | 7594.75480 | 37684.4579 | 432.370800 | 1682.659500 | 2707.54150 | 5456.4506 | 10590.0428 | 18444.5045 | 26794.43720 | 61373.06100 | 16630.27430 | 72647.0576 | -44854174.87 | -50479679.82 | -60032621.59 | -7.660933e+07 | -109696232.2 | -176812107.4 | -330129338.5 | -625193831.3 | -1.306602e+09 | -2722133496 | 1114.4630 | 669.4187 | 440.8719 | 318.0211 | 257.2300 | 229.4475 | 226.5624 | 222.5964 | 233.0128 | 243.4450 | 1901.8331 | 4692.7977 | 10378.0764 | 22556.3120 | 44691.4166 | 97623.3041 | 184765.6410 | 377576.4933 | 7.358128e+05 | 1507172.433 | 11489.6961 | 27458.8885 | 60867.3395 | 110362.2373 | 200062.7545 | 314057.2871 | 7.030022e+05 | 1002359.597 | 2359863.040 | 4011147.820 | 99.9734 | 2.475100e-04 | 5.856900e-04 | 7.364100e-04 | 1.226000e-03 | 0.001834 | 2.571300e-03 | 3.857800e-03 | 6.725900e-03 | 1.920600e-03 | 6.912400e-03 | 2.495600 | 3.469100 | 4.182000 | 4.604900 | 0.663200 | -3.994400 | -12.521200 | -34.856200 | ... | 3.580000e-06 | -3.380000e-06 | -4.610000e-06 | -9.200000e-06 | -1.100000e-06 | 0.000037 | -0.000018 | -0.000043 | 1.620000e-06 | -7.110000e-05 | 0.000644 | -0.000502 | -0.000005 | 0.000458 | -8.971200e-04 | 0.000240 | 0.001378 | 2.527000e-03 | -2.344000e-04 | -4.017500e-04 | -0.003730 | 0.002295 | 1.105400e-03 | -0.000034 | 0.000873 | 0.000256 | -6.247100e-04 | 0.001806 | 0.001014 | 0.001869 | -0.000313 | 0.000906 | -0.003407 | -4.480000e-21 | 1.210000e-20 | -1.120000e-20 | -5.400000e-21 | -7.100000e-21 | -1.410000e-20 | -8.810000e-21 | 2.490000e-20 | 2.940000e-20 | 1.220000e-21 | 5.630000e-20 | -3.160000e-20 | 2.560000e-19 | -1.230000e-18 | -9.090000e-20 | 5.090000e-20 | -1.070000e-19 | -2.800000e-19 | -1.260000e-19 | 1.430000e-19 | 7.780000e-19 | -2.170000e-19 | 2.870000e-18 | -6.250000e-20 | 2.830000e-18 | -2.340000e-18 | 5.940000e-19 | -1.620000e-18 | 4.660000e-19 | -2.060000e-18 | 5.040000e-19 | 5.730000e-19 | -2.420000e-19 | 2.430000e-20 | -5.540000e-19 | 0.001251 | 0.001587 | 0.001564 | 0.001716 | 0.002003 | 0.002512 | 0.002267 | 0.003178 | 0.004850 | 0.005975 | 0.005234 | 0.004537 | 0.016104 | 0.051620 | 0.107080 | 0.158720 | 0.198390 | 0.194870 | 0.16829 | 0.14238 | 0.170260 | 0.239650 | 0.232180 | 0.40929 | 0.891050 | 1.156400 | 0.56424 | 0.108530 | 0.20058 | 0.233870 | 0.114790 | 0.049383 | 0.044040 | 0.038407 | 0.037596 | 0.036562 | 0.097670 | -0.083880 | -0.042498 | -0.048721 | -0.051463 | -0.060416 | -0.069825 | -0.078876 | -0.089012 | -0.099344 | -0.110820 | -0.121640 | -0.129990 | -0.268930 | -0.586380 | -0.84814 | -0.91013 | -0.82669 | -0.65225 | -0.52657 | -0.41462 | -0.54714 | -0.68398 | -1.02680 | -2.09730 | -2.36090 | -1.27240 | -0.66787 | -0.70187 | -0.671820 | -0.506900 | -0.358560 | -0.175740 | -0.154480 | -0.111170 | -0.184540 | -0.310740 | 0.120480 | 0.056334 | 0.053598 | 0.059935 | 0.067180 | 0.076199 | 0.083617 | 0.088373 | 0.103800 | 0.117990 | 0.111290 | 0.122970 | 0.273530 | 0.567740 | 0.83417 | 0.94236 | 0.87739 | 0.76014 | 0.50019 | 0.39757 | 0.55106 | 0.61714 | 0.95174 | 2.13880 | 2.38800 | 1.23460 | 0.59222 | 0.68665 | 0.676480 | 0.486490 | 0.254560 | 0.154360 | 0.133160 | 0.161530 | 0.120000 | 0.440710 | 4.27060 | 0.616730 | 6.455000e-02 | 0.273230 | 2.917600e-02 | 0.179870 | 0.156260 | -1.866300e-02 | -0.014528 | 0.051052 | 0.022622 | -3.042800e-02 | 3.480400e-02 | 0.000153 | 0.009561 | 1.837600e-03 | 9.035600e-03 | 1.939000e-03 | 0.052791 | -1.296300e-03 | -1.281100e-03 | -1.408200e-02 | -1.239600e-03 | 4.244100e-03 | 9.940000e-05 | -1.795500e-02 | -0.073310 | 0.027619 | 0.005381 | -1.773300e-02 | -0.767920 | -0.13315 | -0.367170 | 0.366920 | -0.492650 | 0.19164 | 591.0116 | 65.3827 | 53.9852 | 45.4458 | 34.6650 | 88.3259 | 46.6869 | 23.2911 | 19.2022 | 42.3957 | 100.3649 | 7.1967 | 6.3892 | 6.5496 | 6.0264 | 4.7656 | 4.8909 | 4.2531 | 3.0295 | 2.0362 | 1.8478 | 2.5776 | 2.2064 | 1.9491 | 1.9120 | 1.8829 | 6.9761 | 3.7805 | 3.5664 | 5.2558 | 14.0403 | 4.2235 | 4.6857 | 4.8460 | 6.2650 | 4.0603 | 1 |
| 4 | 1 | 0 | 0.32790 | 0.79782 | 0.53028 | 236 | 235 | 0.008162 | 0.002669 | 0.00535 | 0.000044 | 0.00166 | 0.00227 | 0.00499 | 0.05610 | 0.497 | 0.02909 | 0.03327 | 0.05278 | 0.08728 | 0.975754 | 0.027139 | 19.557 | 76.645686 | 80.937258 | 79.183495 | 846.796144 | 1215.346469 | 3201.513132 | 4085.456839 | 402.216738 | 210.061394 | 203.637106 | 384.611697 | 0.97847 | 102.0549 | 15.4045 | 0.83556 | 0.16210 | 0.151990 | 1861807.802 | 1.6781 | 3.0362 | 0.000281 | 0.000175 | 0.71541 | 53.6764 | 164.4029 | 1.2360 | 1.3156 | 102.9371 | 5.6022 | 31.5211 | 0.30603 | 6.3500 | 0.21877 | 10.1542 | 14.7643 | 6.4634 | 2.9451 | 0.83210 | -1.75500 | -1.0392 | -0.51876 | 0.94225 | 1.54980 | -0.202080 | -1.03360 | -0.880070 | -0.103460 | 0.001995 | -0.000891 | -0.001809 | 0.004247 | -0.000704 | -0.001753 | 0.000913 | 0.004485 | -0.003392 | -0.001008 | 0.001829 | -0.001250 | -0.000751 | -0.001325 | -0.000211 | -0.001466 | 0.000946 | 0.000365 | -0.000235 | -0.000170 | 0.000646 | -0.000398 | 0.000256 | 0.000576 | -0.000285 | 0.000177 | 0.000140 | 0.000035 | 0.17405 | 0.81706 | 0.43786 | 0.43213 | 0.26670 | 0.29672 | 0.19240 | 0.22488 | 0.25130 | 0.22090 | 0.17459 | 0.23269 | 0.20141 | 0.21294 | 0.028652 | 0.17084 | 0.064960 | 0.069561 | 0.046887 | 0.047531 | 0.033966 | 0.029721 | 0.033943 | 0.031989 | 0.026002 | 0.028222 | 0.030469 | 0.028731 | 0.011037 | 0.069915 | 0.026953 | 0.030160 | 0.022486 | 0.020515 | 0.017161 | 0.013791 | 0.016059 | 0.014382 | 0.012686 | 0.014478 | 0.013402 | 0.013618 | 98.6930 | 7.861100e-03 | 1.123800e-02 | 0.014564 | 0.055365 | 0.030612 | 0.057492 | 0.113500 | 0.123360 | 0.101750 | 0.791240 | -115393.5436 | -173099.5546 | -235961.64100 | -1.054960e+06 | -5.759867e+05 | -1.170598e+06 | -2.613414e+06 | -2.797297e+06 | -2.228969e+06 | -2.089139e+07 | -231.7629 | 67.8393 | 141.8058 | 177.2765 | 129.2619 | 103.6704 | 101.5425 | 100.3828 | 112.0031 | 138.1052 | 113.394700 | 380.627700 | 869.24010 | 4307.7861 | 3436.9623 | 5521.4215 | 13703.59560 | 9676.360300 | 13545.68690 | 134568.1745 | 437.941800 | 933.581200 | 1522.96350 | 7995.9587 | 6601.1111 | 14594.4305 | 35910.80060 | 42206.54280 | 22655.66220 | 228423.4102 | -59737876.86 | -66995068.86 | -80313780.59 | -1.003577e+08 | -140671395.9 | -225887933.1 | -425927317.4 | -786450935.2 | -1.640684e+09 | -3391441982 | 1150.7588 | 687.9315 | 451.0732 | 323.8359 | 260.5085 | 231.7202 | 228.6784 | 224.1464 | 234.5705 | 245.0186 | 1921.2283 | 5938.5628 | 16402.1087 | 37106.4026 | 87904.0887 | 189806.4877 | 404982.5071 | 853765.7904 | 1.713112e+06 | 3158402.899 | 11366.1022 | 29064.1478 | 72348.0929 | 140910.6033 | 318496.1060 | 713080.2915 | 1.119327e+06 | 2556027.478 | 4504909.124 | 8579124.177 | 99.9541 | 2.686400e-04 | 3.879400e-04 | 4.966200e-04 | 1.928400e-03 | 0.001070 | 1.999400e-03 | 4.102300e-03 | 4.380400e-03 | 3.616600e-03 | 2.765900e-02 | 2.482600 | 3.110000 | 3.341000 | 3.901600 | 2.594700 | -0.122650 | -18.428700 | -16.834000 | ... | -6.300000e-07 | 1.600000e-09 | -7.060000e-06 | -6.170000e-06 | -1.360000e-07 | 0.000015 | -0.000027 | -0.000006 | -2.640000e-05 | -9.270000e-05 | -0.000317 | -0.000833 | 0.000120 | -0.000160 | -1.372500e-04 | 0.000346 | 0.000844 | 2.147300e-03 | 2.843900e-03 | 2.721900e-04 | -0.002351 | 0.017662 | 8.909500e-03 | 0.000374 | -0.000449 | -0.000794 | -4.292000e-04 | 0.000482 | -0.000885 | -0.000391 | 0.000663 | -0.000291 | -0.003433 | -1.800000e-21 | 5.240000e-21 | -2.460000e-21 | -2.700000e-21 | 5.720000e-21 | 3.670000e-21 | 2.640000e-22 | -1.030000e-20 | -1.170000e-20 | -1.830000e-21 | 1.280000e-20 | -3.590000e-20 | 1.020000e-19 | -3.110000e-19 | -5.820000e-19 | 2.640000e-19 | 1.310000e-19 | -3.300000e-19 | 1.090000e-18 | -2.040000e-19 | -1.700000e-18 | 1.770000e-18 | 1.110000e-18 | -1.220000e-18 | -1.950000e-18 | -8.110000e-19 | 1.280000e-19 | -2.430000e-20 | -3.160000e-20 | 1.400000e-19 | -1.120000e-19 | -1.180000e-19 | -4.030000e-20 | 1.880000e-19 | -2.190000e-20 | 0.000367 | 0.001478 | 0.001725 | 0.002077 | 0.002099 | 0.002526 | 0.002303 | 0.002850 | 0.004911 | 0.006632 | 0.005222 | 0.003931 | 0.015422 | 0.051298 | 0.111210 | 0.169000 | 0.197900 | 0.172300 | 0.14848 | 0.14000 | 0.171210 | 0.249550 | 0.206070 | 0.37040 | 0.888380 | 1.187900 | 0.59964 | 0.080751 | 0.14038 | 0.160080 | 0.078323 | 0.044103 | 0.044263 | 0.040032 | 0.028778 | 0.026253 | 0.106320 | -0.039576 | -0.020694 | -0.024406 | -0.024440 | -0.032103 | -0.033566 | -0.037229 | -0.049975 | -0.056474 | -0.066787 | -0.078138 | -0.115900 | -0.227210 | -0.505800 | -0.86047 | -0.93465 | -0.77137 | -0.62996 | -0.45541 | -0.46073 | -0.56218 | -0.55034 | -1.00870 | -1.74840 | -2.28820 | -1.18590 | -0.42028 | -0.52318 | -0.575900 | -0.365840 | -0.142190 | -0.204260 | -0.221940 | -0.148020 | -0.113320 | -0.406580 | 0.059090 | 0.026789 | 0.021314 | 0.027942 | 0.028856 | 0.036384 | 0.038050 | 0.049211 | 0.060046 | 0.072172 | 0.086621 | 0.102950 | 0.235860 | 0.567490 | 0.74186 | 0.75783 | 0.80918 | 0.58794 | 0.44788 | 0.46352 | 0.63134 | 0.55267 | 1.04250 | 1.74970 | 2.28370 | 1.35380 | 0.49868 | 0.57971 | 0.623640 | 0.384470 | 0.189870 | 0.206310 | 0.209420 | 0.135500 | 0.092719 | 0.445130 | 0.39147 | 0.032907 | -4.187600e-03 | 0.005982 | -1.890000e-02 | -0.037698 | -0.114170 | -1.775300e-02 | -0.009927 | -0.010845 | 0.115230 | 7.083800e-03 | 1.791500e-02 | 0.006910 | -0.005165 | -4.920000e-03 | -5.740400e-03 | -3.680500e-03 | -0.017182 | -5.397100e-03 | 3.441400e-03 | 1.298500e-03 | 3.069000e-03 | 7.456300e-04 | 4.850000e-05 | 5.015800e-02 | 0.011784 | 0.011756 | -0.008074 | -1.896400e-02 | 0.419690 | 0.29168 | -0.071687 | -0.378360 | -0.035805 | 0.26596 | 32.0393 | 7.2343 | 6.5540 | 6.4520 | 6.9274 | 10.2265 | 14.2579 | 10.6181 | 8.6143 | 9.5822 | 34.0835 | 4.1139 | 3.6718 | 4.4360 | 4.5793 | 3.9447 | 4.1253 | 3.4869 | 2.4627 | 2.1073 | 1.9056 | 2.2214 | 2.0588 | 1.8157 | 1.7577 | 1.8821 | 7.8832 | 6.1727 | 5.8416 | 6.0805 | 5.7621 | 7.7817 | 11.6891 | 8.2103 | 5.0559 | 6.1164 | 1 |
5 rows × 755 columns
# Rename the columns for a more appealing view
prev_col_name = ''
column_names = []
for c in data.columns:
if not c[0].startswith('Unnamed'):
prev_col_name = c[0]
column_names.append(f'{prev_col_name}-{c[1]}')
column_names[-1] = 'class'
data.columns = column_names
data.head()
| -id | -gender | Baseline Features-PPE | Baseline Features-DFA | Baseline Features-RPDE | Baseline Features-numPulses | Baseline Features-numPeriodsPulses | Baseline Features-meanPeriodPulses | Baseline Features-stdDevPeriodPulses | Baseline Features-locPctJitter | Baseline Features-locAbsJitter | Baseline Features-rapJitter | Baseline Features-ppq5Jitter | Baseline Features-ddpJitter | Baseline Features-locShimmer | Baseline Features-locDbShimmer | Baseline Features-apq3Shimmer | Baseline Features-apq5Shimmer | Baseline Features-apq11Shimmer | Baseline Features-ddaShimmer | Baseline Features-meanAutoCorrHarmonicity | Baseline Features-meanNoiseToHarmHarmonicity | Baseline Features-meanHarmToNoiseHarmonicity | Intensity Parameters-minIntensity | Intensity Parameters-maxIntensity | Intensity Parameters-meanIntensity | Formant Frequencies-f1 | Formant Frequencies-f2 | Formant Frequencies-f3 | Formant Frequencies-f4 | Bandwidth Parameters-b1 | Bandwidth Parameters-b2 | Bandwidth Parameters-b3 | Bandwidth Parameters-b4 | Vocal Fold-GQ_prc5_95 | Vocal Fold-GQ_std_cycle_open | Vocal Fold-GQ_std_cycle_closed | Vocal Fold-GNE_mean | Vocal Fold-GNE_std | Vocal Fold-GNE_SNR_TKEO | Vocal Fold-GNE_SNR_SEO | Vocal Fold-GNE_NSR_TKEO | Vocal Fold-GNE_NSR_SEO | Vocal Fold-VFER_mean | Vocal Fold-VFER_std | Vocal Fold-VFER_entropy | Vocal Fold-VFER_SNR_TKEO | Vocal Fold-VFER_SNR_SEO | Vocal Fold-VFER_NSR_TKEO | Vocal Fold-VFER_NSR_SEO | Vocal Fold-IMF_SNR_SEO | Vocal Fold-IMF_SNR_TKEO | Vocal Fold-IMF_SNR_entropy | Vocal Fold-IMF_NSR_SEO | Vocal Fold-IMF_NSR_TKEO | Vocal Fold-IMF_NSR_entropy | MFCC -mean_Log_energy | MFCC -mean_MFCC_0th_coef | MFCC -mean_MFCC_1st_coef | MFCC -mean_MFCC_2nd_coef | MFCC -mean_MFCC_3rd_coef | MFCC -mean_MFCC_4th_coef | MFCC -mean_MFCC_5th_coef | MFCC -mean_MFCC_6th_coef | MFCC -mean_MFCC_7th_coef | MFCC -mean_MFCC_8th_coef | MFCC -mean_MFCC_9th_coef | MFCC -mean_MFCC_10th_coef | MFCC -mean_MFCC_11th_coef | MFCC -mean_MFCC_12th_coef | MFCC -mean_delta_log_energy | MFCC -mean_0th_delta | MFCC -mean_1st_delta | MFCC -mean_2nd_delta | MFCC -mean_3rd_delta | MFCC -mean_4th_delta | MFCC -mean_5th_delta | MFCC -mean_6th_delta | MFCC -mean_7th_delta | MFCC -mean_8th_delta | MFCC -mean_9th_delta | MFCC -mean_10th_delta | MFCC -mean_11th_delta | MFCC -mean_12th_delta | MFCC -mean_delta_delta_log_energy | MFCC -mean_delta_delta_0th | MFCC -mean_1st_delta_delta | MFCC -mean_2nd_delta_delta | MFCC -mean_3rd_delta_delta | MFCC -mean_4th_delta_delta | MFCC -mean_5th_delta_delta | MFCC -mean_6th_delta_delta | MFCC -mean_7th_delta_delta | MFCC -mean_8th_delta_delta | MFCC -mean_9th_delta_delta | MFCC -mean_10th_delta_delta | MFCC -mean_11th_delta_delta | MFCC -mean_12th_delta_delta | MFCC -std_Log_energy | MFCC -std_MFCC_0th_coef | MFCC -std_MFCC_1st_coef | MFCC -std_MFCC_2nd_coef | MFCC -std_MFCC_3rd_coef | MFCC -std_MFCC_4th_coef | MFCC -std_MFCC_5th_coef | MFCC -std_MFCC_6th_coef | MFCC -std_MFCC_7th_coef | MFCC -std_MFCC_8th_coef | MFCC -std_MFCC_9th_coef | MFCC -std_MFCC_10th_coef | MFCC -std_MFCC_11th_coef | MFCC -std_MFCC_12th_coef | MFCC -std_delta_log_energy | MFCC -std_0th_delta | MFCC -std_1st_delta | MFCC -std_2nd_delta | MFCC -std_3rd_delta | MFCC -std_4th_delta | MFCC -std_5th_delta | MFCC -std_6th_delta | MFCC -std_7th_delta | MFCC -std_8th_delta | MFCC -std_9th_delta | MFCC -std_10th_delta | MFCC -std_11th_delta | MFCC -std_12th_delta | MFCC -std_delta_delta_log_energy | MFCC -std_delta_delta_0th | MFCC -std_1st_delta_delta | MFCC -std_2nd_delta_delta | MFCC -std_3rd_delta_delta | MFCC -std_4th_delta_delta | MFCC -std_5th_delta_delta | MFCC -std_6th_delta_delta | MFCC -std_7th_delta_delta | MFCC -std_8th_delta_delta | MFCC -std_9th_delta_delta | MFCC -std_10th_delta_delta | MFCC -std_11th_delta_delta | MFCC -std_12th_delta_delta | Wavelet Features-Ea | Wavelet Features-Ed_1_coef | Wavelet Features-Ed_2_coef | Wavelet Features-Ed_3_coef | Wavelet Features-Ed_4_coef | Wavelet Features-Ed_5_coef | Wavelet Features-Ed_6_coef | Wavelet Features-Ed_7_coef | Wavelet Features-Ed_8_coef | Wavelet Features-Ed_9_coef | Wavelet Features-Ed_10_coef | Wavelet Features-det_entropy_shannon_1_coef | Wavelet Features-det_entropy_shannon_2_coef | Wavelet Features-det_entropy_shannon_3_coef | Wavelet Features-det_entropy_shannon_4_coef | Wavelet Features-det_entropy_shannon_5_coef | Wavelet Features-det_entropy_shannon_6_coef | Wavelet Features-det_entropy_shannon_7_coef | Wavelet Features-det_entropy_shannon_8_coef | Wavelet Features-det_entropy_shannon_9_coef | Wavelet Features-det_entropy_shannon_10_coef | Wavelet Features-det_entropy_log_1_coef | Wavelet Features-det_entropy_log_2_coef | Wavelet Features-det_entropy_log_3_coef | Wavelet Features-det_entropy_log_4_coef | Wavelet Features-det_entropy_log_5_coef | Wavelet Features-det_entropy_log_6_coef | Wavelet Features-det_entropy_log_7_coef | Wavelet Features-det_entropy_log_8_coef | Wavelet Features-det_entropy_log_9_coef | Wavelet Features-det_entropy_log_10_coef | Wavelet Features-det_TKEO_mean_1_coef | Wavelet Features-det_TKEO_mean_2_coef | Wavelet Features-det_TKEO_mean_3_coef | Wavelet Features-det_TKEO_mean_4_coef | Wavelet Features-det_TKEO_mean_5_coef | Wavelet Features-det_TKEO_mean_6_coef | Wavelet Features-det_TKEO_mean_7_coef | Wavelet Features-det_TKEO_mean_8_coef | Wavelet Features-det_TKEO_mean_9_coef | Wavelet Features-det_TKEO_mean_10_coef | Wavelet Features-det_TKEO_std_1_coef | Wavelet Features-det_TKEO_std_2_coef | Wavelet Features-det_TKEO_std_3_coef | Wavelet Features-det_TKEO_std_4_coef | Wavelet Features-det_TKEO_std_5_coef | Wavelet Features-det_TKEO_std_6_coef | Wavelet Features-det_TKEO_std_7_coef | Wavelet Features-det_TKEO_std_8_coef | Wavelet Features-det_TKEO_std_9_coef | Wavelet Features-det_TKEO_std_10_coef | Wavelet Features-app_entropy_shannon_1_coef | Wavelet Features-app_entropy_shannon_2_coef | Wavelet Features-app_entropy_shannon_3_coef | Wavelet Features-app_entropy_shannon_4_coef | Wavelet Features-app_entropy_shannon_5_coef | Wavelet Features-app_entropy_shannon_6_coef | Wavelet Features-app_entropy_shannon_7_coef | Wavelet Features-app_entropy_shannon_8_coef | Wavelet Features-app_entropy_shannon_9_coef | Wavelet Features-app_entropy_shannon_10_coef | Wavelet Features-app_entropy_log_1_coef | Wavelet Features-app_entropy_log_2_coef | Wavelet Features-app_entropy_log_3_coef | Wavelet Features-app_entropy_log_4_coef | Wavelet Features-app_entropy_log_5_coef | Wavelet Features-app_entropy_log_6_coef | Wavelet Features-app_entropy_log_7_coef | Wavelet Features-app_entropy_log_8_coef | Wavelet Features-app_entropy_log_9_coef | Wavelet Features-app_entropy_log_10_coef | Wavelet Features-app_det_TKEO_mean_1_coef | Wavelet Features-app_det_TKEO_mean_2_coef | Wavelet Features-app_det_TKEO_mean_3_coef | Wavelet Features-app_det_TKEO_mean_4_coef | Wavelet Features-app_det_TKEO_mean_5_coef | Wavelet Features-app_det_TKEO_mean_6_coef | Wavelet Features-app_det_TKEO_mean_7_coef | Wavelet Features-app_det_TKEO_mean_8_coef | Wavelet Features-app_det_TKEO_mean_9_coef | Wavelet Features-app_det_TKEO_mean_10_coef | Wavelet Features-app_TKEO_std_1_coef | Wavelet Features-app_TKEO_std_2_coef | Wavelet Features-app_TKEO_std_3_coef | Wavelet Features-app_TKEO_std_4_coef | Wavelet Features-app_TKEO_std_5_coef | Wavelet Features-app_TKEO_std_6_coef | Wavelet Features-app_TKEO_std_7_coef | Wavelet Features-app_TKEO_std_8_coef | Wavelet Features-app_TKEO_std_9_coef | Wavelet Features-app_TKEO_std_10_coef | Wavelet Features-Ea2 | Wavelet Features-Ed2_1_coef | Wavelet Features-Ed2_2_coef | Wavelet Features-Ed2_3_coef | Wavelet Features-Ed2_4_coef | Wavelet Features-Ed2_5_coef | Wavelet Features-Ed2_6_coef | Wavelet Features-Ed2_7_coef | Wavelet Features-Ed2_8_coef | Wavelet Features-Ed2_9_coef | Wavelet Features-Ed2_10_coef | Wavelet Features-det_LT_entropy_shannon_1_coef | Wavelet Features-det_LT_entropy_shannon_2_coef | Wavelet Features-det_LT_entropy_shannon_3_coef | Wavelet Features-det_LT_entropy_shannon_4_coef | Wavelet Features-det_LT_entropy_shannon_5_coef | Wavelet Features-det_LT_entropy_shannon_6_coef | Wavelet Features-det_LT_entropy_shannon_7_coef | Wavelet Features-det_LT_entropy_shannon_8_coef | ... | TQWT Features-tqwt_medianValue_dec_4 | TQWT Features-tqwt_medianValue_dec_5 | TQWT Features-tqwt_medianValue_dec_6 | TQWT Features-tqwt_medianValue_dec_7 | TQWT Features-tqwt_medianValue_dec_8 | TQWT Features-tqwt_medianValue_dec_9 | TQWT Features-tqwt_medianValue_dec_10 | TQWT Features-tqwt_medianValue_dec_11 | TQWT Features-tqwt_medianValue_dec_12 | TQWT Features-tqwt_medianValue_dec_13 | TQWT Features-tqwt_medianValue_dec_14 | TQWT Features-tqwt_medianValue_dec_15 | TQWT Features-tqwt_medianValue_dec_16 | TQWT Features-tqwt_medianValue_dec_17 | TQWT Features-tqwt_medianValue_dec_18 | TQWT Features-tqwt_medianValue_dec_19 | TQWT Features-tqwt_medianValue_dec_20 | TQWT Features-tqwt_medianValue_dec_21 | TQWT Features-tqwt_medianValue_dec_22 | TQWT Features-tqwt_medianValue_dec_23 | TQWT Features-tqwt_medianValue_dec_24 | TQWT Features-tqwt_medianValue_dec_25 | TQWT Features-tqwt_medianValue_dec_26 | TQWT Features-tqwt_medianValue_dec_27 | TQWT Features-tqwt_medianValue_dec_28 | TQWT Features-tqwt_medianValue_dec_29 | TQWT Features-tqwt_medianValue_dec_30 | TQWT Features-tqwt_medianValue_dec_31 | TQWT Features-tqwt_medianValue_dec_32 | TQWT Features-tqwt_medianValue_dec_33 | TQWT Features-tqwt_medianValue_dec_34 | TQWT Features-tqwt_medianValue_dec_35 | TQWT Features-tqwt_medianValue_dec_36 | TQWT Features-tqwt_meanValue_dec_1 | TQWT Features-tqwt_meanValue_dec_2 | TQWT Features-tqwt_meanValue_dec_3 | TQWT Features-tqwt_meanValue_dec_4 | TQWT Features-tqwt_meanValue_dec_5 | TQWT Features-tqwt_meanValue_dec_6 | TQWT Features-tqwt_meanValue_dec_7 | TQWT Features-tqwt_meanValue_dec_8 | TQWT Features-tqwt_meanValue_dec_9 | TQWT Features-tqwt_meanValue_dec_10 | TQWT Features-tqwt_meanValue_dec_11 | TQWT Features-tqwt_meanValue_dec_12 | TQWT Features-tqwt_meanValue_dec_13 | TQWT Features-tqwt_meanValue_dec_14 | TQWT Features-tqwt_meanValue_dec_15 | TQWT Features-tqwt_meanValue_dec_16 | TQWT Features-tqwt_meanValue_dec_17 | TQWT Features-tqwt_meanValue_dec_18 | TQWT Features-tqwt_meanValue_dec_19 | TQWT Features-tqwt_meanValue_dec_20 | TQWT Features-tqwt_meanValue_dec_21 | TQWT Features-tqwt_meanValue_dec_22 | TQWT Features-tqwt_meanValue_dec_23 | TQWT Features-tqwt_meanValue_dec_24 | TQWT Features-tqwt_meanValue_dec_25 | TQWT Features-tqwt_meanValue_dec_26 | TQWT Features-tqwt_meanValue_dec_27 | TQWT Features-tqwt_meanValue_dec_28 | TQWT Features-tqwt_meanValue_dec_29 | TQWT Features-tqwt_meanValue_dec_30 | TQWT Features-tqwt_meanValue_dec_31 | TQWT Features-tqwt_meanValue_dec_32 | TQWT Features-tqwt_meanValue_dec_33 | TQWT Features-tqwt_meanValue_dec_34 | TQWT Features-tqwt_meanValue_dec_35 | TQWT Features-tqwt_meanValue_dec_36 | TQWT Features-tqwt_stdValue_dec_1 | TQWT Features-tqwt_stdValue_dec_2 | TQWT Features-tqwt_stdValue_dec_3 | TQWT Features-tqwt_stdValue_dec_4 | TQWT Features-tqwt_stdValue_dec_5 | TQWT Features-tqwt_stdValue_dec_6 | TQWT Features-tqwt_stdValue_dec_7 | TQWT Features-tqwt_stdValue_dec_8 | TQWT Features-tqwt_stdValue_dec_9 | TQWT Features-tqwt_stdValue_dec_10 | TQWT Features-tqwt_stdValue_dec_11 | TQWT Features-tqwt_stdValue_dec_12 | TQWT Features-tqwt_stdValue_dec_13 | TQWT Features-tqwt_stdValue_dec_14 | TQWT Features-tqwt_stdValue_dec_15 | TQWT Features-tqwt_stdValue_dec_16 | TQWT Features-tqwt_stdValue_dec_17 | TQWT Features-tqwt_stdValue_dec_18 | TQWT Features-tqwt_stdValue_dec_19 | TQWT Features-tqwt_stdValue_dec_20 | TQWT Features-tqwt_stdValue_dec_21 | TQWT Features-tqwt_stdValue_dec_22 | TQWT Features-tqwt_stdValue_dec_23 | TQWT Features-tqwt_stdValue_dec_24 | TQWT Features-tqwt_stdValue_dec_25 | TQWT Features-tqwt_stdValue_dec_26 | TQWT Features-tqwt_stdValue_dec_27 | TQWT Features-tqwt_stdValue_dec_28 | TQWT Features-tqwt_stdValue_dec_29 | TQWT Features-tqwt_stdValue_dec_30 | TQWT Features-tqwt_stdValue_dec_31 | TQWT Features-tqwt_stdValue_dec_32 | TQWT Features-tqwt_stdValue_dec_33 | TQWT Features-tqwt_stdValue_dec_34 | TQWT Features-tqwt_stdValue_dec_35 | TQWT Features-tqwt_stdValue_dec_36 | TQWT Features-tqwt_minValue_dec_1 | TQWT Features-tqwt_minValue_dec_2 | TQWT Features-tqwt_minValue_dec_3 | TQWT Features-tqwt_minValue_dec_4 | TQWT Features-tqwt_minValue_dec_5 | TQWT Features-tqwt_minValue_dec_6 | TQWT Features-tqwt_minValue_dec_7 | TQWT Features-tqwt_minValue_dec_8 | TQWT Features-tqwt_minValue_dec_9 | TQWT Features-tqwt_minValue_dec_10 | TQWT Features-tqwt_minValue_dec_11 | TQWT Features-tqwt_minValue_dec_12 | TQWT Features-tqwt_minValue_dec_13 | TQWT Features-tqwt_minValue_dec_14 | TQWT Features-tqwt_minValue_dec_15 | TQWT Features-tqwt_minValue_dec_16 | TQWT Features-tqwt_minValue_dec_17 | TQWT Features-tqwt_minValue_dec_18 | TQWT Features-tqwt_minValue_dec_19 | TQWT Features-tqwt_minValue_dec_20 | TQWT Features-tqwt_minValue_dec_21 | TQWT Features-tqwt_minValue_dec_22 | TQWT Features-tqwt_minValue_dec_23 | TQWT Features-tqwt_minValue_dec_24 | TQWT Features-tqwt_minValue_dec_25 | TQWT Features-tqwt_minValue_dec_26 | TQWT Features-tqwt_minValue_dec_27 | TQWT Features-tqwt_minValue_dec_28 | TQWT Features-tqwt_minValue_dec_29 | TQWT Features-tqwt_minValue_dec_30 | TQWT Features-tqwt_minValue_dec_31 | TQWT Features-tqwt_minValue_dec_32 | TQWT Features-tqwt_minValue_dec_33 | TQWT Features-tqwt_minValue_dec_34 | TQWT Features-tqwt_minValue_dec_35 | TQWT Features-tqwt_minValue_dec_36 | TQWT Features-tqwt_maxValue_dec_1 | TQWT Features-tqwt_maxValue_dec_2 | TQWT Features-tqwt_maxValue_dec_3 | TQWT Features-tqwt_maxValue_dec_4 | TQWT Features-tqwt_maxValue_dec_5 | TQWT Features-tqwt_maxValue_dec_6 | TQWT Features-tqwt_maxValue_dec_7 | TQWT Features-tqwt_maxValue_dec_8 | TQWT Features-tqwt_maxValue_dec_9 | TQWT Features-tqwt_maxValue_dec_10 | TQWT Features-tqwt_maxValue_dec_11 | TQWT Features-tqwt_maxValue_dec_12 | TQWT Features-tqwt_maxValue_dec_13 | TQWT Features-tqwt_maxValue_dec_14 | TQWT Features-tqwt_maxValue_dec_15 | TQWT Features-tqwt_maxValue_dec_16 | TQWT Features-tqwt_maxValue_dec_17 | TQWT Features-tqwt_maxValue_dec_18 | TQWT Features-tqwt_maxValue_dec_19 | TQWT Features-tqwt_maxValue_dec_20 | TQWT Features-tqwt_maxValue_dec_21 | TQWT Features-tqwt_maxValue_dec_22 | TQWT Features-tqwt_maxValue_dec_23 | TQWT Features-tqwt_maxValue_dec_24 | TQWT Features-tqwt_maxValue_dec_25 | TQWT Features-tqwt_maxValue_dec_26 | TQWT Features-tqwt_maxValue_dec_27 | TQWT Features-tqwt_maxValue_dec_28 | TQWT Features-tqwt_maxValue_dec_29 | TQWT Features-tqwt_maxValue_dec_30 | TQWT Features-tqwt_maxValue_dec_31 | TQWT Features-tqwt_maxValue_dec_32 | TQWT Features-tqwt_maxValue_dec_33 | TQWT Features-tqwt_maxValue_dec_34 | TQWT Features-tqwt_maxValue_dec_35 | TQWT Features-tqwt_maxValue_dec_36 | TQWT Features-tqwt_skewnessValue_dec_1 | TQWT Features-tqwt_skewnessValue_dec_2 | TQWT Features-tqwt_skewnessValue_dec_3 | TQWT Features-tqwt_skewnessValue_dec_4 | TQWT Features-tqwt_skewnessValue_dec_5 | TQWT Features-tqwt_skewnessValue_dec_6 | TQWT Features-tqwt_skewnessValue_dec_7 | TQWT Features-tqwt_skewnessValue_dec_8 | TQWT Features-tqwt_skewnessValue_dec_9 | TQWT Features-tqwt_skewnessValue_dec_10 | TQWT Features-tqwt_skewnessValue_dec_11 | TQWT Features-tqwt_skewnessValue_dec_12 | TQWT Features-tqwt_skewnessValue_dec_13 | TQWT Features-tqwt_skewnessValue_dec_14 | TQWT Features-tqwt_skewnessValue_dec_15 | TQWT Features-tqwt_skewnessValue_dec_16 | TQWT Features-tqwt_skewnessValue_dec_17 | TQWT Features-tqwt_skewnessValue_dec_18 | TQWT Features-tqwt_skewnessValue_dec_19 | TQWT Features-tqwt_skewnessValue_dec_20 | TQWT Features-tqwt_skewnessValue_dec_21 | TQWT Features-tqwt_skewnessValue_dec_22 | TQWT Features-tqwt_skewnessValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_24 | TQWT Features-tqwt_skewnessValue_dec_25 | TQWT Features-tqwt_skewnessValue_dec_26 | TQWT Features-tqwt_skewnessValue_dec_27 | TQWT Features-tqwt_skewnessValue_dec_28 | TQWT Features-tqwt_skewnessValue_dec_29 | TQWT Features-tqwt_skewnessValue_dec_30 | TQWT Features-tqwt_skewnessValue_dec_31 | TQWT Features-tqwt_skewnessValue_dec_32 | TQWT Features-tqwt_skewnessValue_dec_33 | TQWT Features-tqwt_skewnessValue_dec_34 | TQWT Features-tqwt_skewnessValue_dec_35 | TQWT Features-tqwt_skewnessValue_dec_36 | TQWT Features-tqwt_kurtosisValue_dec_1 | TQWT Features-tqwt_kurtosisValue_dec_2 | TQWT Features-tqwt_kurtosisValue_dec_3 | TQWT Features-tqwt_kurtosisValue_dec_4 | TQWT Features-tqwt_kurtosisValue_dec_5 | TQWT Features-tqwt_kurtosisValue_dec_6 | TQWT Features-tqwt_kurtosisValue_dec_7 | TQWT Features-tqwt_kurtosisValue_dec_8 | TQWT Features-tqwt_kurtosisValue_dec_9 | TQWT Features-tqwt_kurtosisValue_dec_10 | TQWT Features-tqwt_kurtosisValue_dec_11 | TQWT Features-tqwt_kurtosisValue_dec_12 | TQWT Features-tqwt_kurtosisValue_dec_13 | TQWT Features-tqwt_kurtosisValue_dec_14 | TQWT Features-tqwt_kurtosisValue_dec_15 | TQWT Features-tqwt_kurtosisValue_dec_16 | TQWT Features-tqwt_kurtosisValue_dec_17 | TQWT Features-tqwt_kurtosisValue_dec_18 | TQWT Features-tqwt_kurtosisValue_dec_19 | TQWT Features-tqwt_kurtosisValue_dec_20 | TQWT Features-tqwt_kurtosisValue_dec_21 | TQWT Features-tqwt_kurtosisValue_dec_22 | TQWT Features-tqwt_kurtosisValue_dec_23 | TQWT Features-tqwt_kurtosisValue_dec_24 | TQWT Features-tqwt_kurtosisValue_dec_25 | TQWT Features-tqwt_kurtosisValue_dec_26 | TQWT Features-tqwt_kurtosisValue_dec_27 | TQWT Features-tqwt_kurtosisValue_dec_28 | TQWT Features-tqwt_kurtosisValue_dec_29 | TQWT Features-tqwt_kurtosisValue_dec_30 | TQWT Features-tqwt_kurtosisValue_dec_31 | TQWT Features-tqwt_kurtosisValue_dec_32 | TQWT Features-tqwt_kurtosisValue_dec_33 | TQWT Features-tqwt_kurtosisValue_dec_34 | TQWT Features-tqwt_kurtosisValue_dec_35 | TQWT Features-tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 1 | 0.85247 | 0.71826 | 0.57227 | 240 | 239 | 0.008064 | 0.000087 | 0.00218 | 0.000018 | 0.00067 | 0.00129 | 0.00200 | 0.05883 | 0.517 | 0.03011 | 0.03496 | 0.04828 | 0.09034 | 0.970805 | 0.036223 | 18.995 | 69.997496 | 76.088046 | 72.465512 | 539.342735 | 1031.849040 | 2447.162183 | 3655.054806 | 101.092218 | 83.147440 | 255.214830 | 396.643631 | 0.77778 | 11.7245 | 2.8277 | 1.17300 | 0.26512 | 0.083127 | 1200445.612 | 1.5347 | 3.0152 | 0.000463 | 0.000260 | 0.83621 | 209.6062 | 455.9654 | 1.2825 | 1.3305 | 51.6843 | 5.7784 | 23.2610 | 0.26850 | 5.8573 | 0.20023 | 9.1817 | 11.4283 | 8.4781 | 2.4874 | 0.02292 | 0.55527 | -1.6334 | -1.51440 | 0.39725 | 0.61775 | 0.091821 | 0.54775 | -0.006825 | -0.672740 | -0.001013 | -0.000075 | -0.003364 | -0.000192 | 0.001357 | -0.000900 | -0.003002 | 0.001548 | 0.005187 | -0.000205 | -0.004737 | 0.002465 | 0.002514 | -0.001187 | -0.000179 | -0.000828 | -0.000498 | 0.001386 | 0.000173 | -0.000286 | 0.000428 | -0.000044 | -0.000338 | 0.000430 | 0.000038 | -0.000356 | -0.000076 | 0.000027 | 0.34158 | 1.02790 | 0.65735 | 0.78036 | 0.30141 | 0.35418 | 0.19127 | 0.22892 | 0.33550 | 0.17101 | 0.28111 | 0.21511 | 0.16605 | 0.17762 | 0.049933 | 0.17226 | 0.089754 | 0.146270 | 0.040231 | 0.060808 | 0.030284 | 0.028830 | 0.042253 | 0.028115 | 0.047180 | 0.035775 | 0.020827 | 0.023057 | 0.016392 | 0.078800 | 0.043847 | 0.066410 | 0.021565 | 0.029594 | 0.015351 | 0.014642 | 0.019681 | 0.012829 | 0.021703 | 0.017089 | 0.010043 | 0.012130 | 99.9996 | 1.530000e-07 | 8.860000e-07 | 0.000007 | 0.000021 | 0.000102 | 0.000013 | 0.000041 | 0.000027 | 0.000010 | 0.000202 | 1.7166 | 5.5625 | 0.04894 | -7.221920e+01 | -8.669373e+02 | -5.453350e+01 | -3.199468e+02 | -1.652570e+02 | -4.297050e+01 | -2.336364e+03 | -779.1377 | -290.2080 | -78.3447 | -10.7944 | 10.5089 | -46.3816 | -35.9347 | -46.8515 | -31.2923 | -18.7456 | 0.002486 | 0.028150 | 0.32455 | 1.5948 | 7.7828 | 2.3013 | 5.66280 | 3.568300 | 2.03020 | 44.7582 | 0.005012 | 0.046228 | 0.68635 | 3.5072 | 26.1213 | 3.7358 | 15.28300 | 9.20280 | 4.78870 | 89.7670 | -34415952.86 | -41505780.29 | -54991273.00 | -7.977922e+07 | -129684181.7 | -232253303.7 | -459058057.8 | -902118385.7 | -1.886559e+09 | -3937753319 | 1116.2921 | 672.8105 | 445.4876 | 322.8542 | 262.2272 | 234.6861 | 231.9690 | 227.8718 | 238.2690 | 248.6663 | 572.1636 | 2023.8169 | 6477.7714 | 18923.0837 | 49173.8993 | 115701.9285 | 245931.5887 | 524800.1114 | 1.049747e+06 | 2101636.245 | 4181.8549 | 11092.1222 | 27917.7341 | 67151.7571 | 151463.1285 | 326874.1892 | 6.720895e+05 | 1381934.183 | 2777808.879 | 5547195.189 | 100.0000 | 6.590000e-09 | 3.860000e-08 | 3.250000e-07 | 9.050000e-07 | 0.000004 | 5.710000e-07 | 1.730000e-06 | 1.150000e-06 | 4.500000e-07 | 8.710000e-06 | 0.000338 | 0.001691 | 0.011168 | 0.026503 | 0.095478 | 0.016070 | 0.039222 | 0.029105 | ... | 2.840000e-07 | 0.000000e+00 | 9.300000e-07 | -1.270000e-07 | -1.410000e-18 | 0.000009 | -0.000002 | -0.000031 | -9.930000e-19 | -5.560000e-18 | 0.000560 | 0.000010 | 0.000000 | 0.000000 | -6.100000e-17 | -0.000389 | 0.000000 | 3.810000e-17 | 6.150000e-17 | 6.740000e-17 | 0.000000 | 0.000000 | -2.220000e-17 | -0.013372 | 0.056236 | 0.000445 | 2.850000e-19 | 0.000140 | -0.000084 | -0.000169 | -0.000202 | -0.000043 | -0.014320 | -2.890000e-21 | -3.770000e-21 | 1.700000e-22 | -9.180000e-22 | -3.980000e-22 | -2.860000e-21 | -3.520000e-22 | 1.060000e-21 | 1.230000e-20 | -1.360000e-20 | -1.630000e-20 | -2.630000e-21 | 1.840000e-21 | 1.340000e-19 | -2.650000e-20 | 1.820000e-21 | 9.600000e-20 | -7.500000e-20 | -1.060000e-18 | 7.540000e-21 | -6.330000e-20 | -1.250000e-18 | -1.900000e-18 | -2.420000e-19 | 9.380000e-20 | -7.210000e-19 | 1.840000e-18 | -1.850000e-18 | -7.290000e-21 | 2.040000e-20 | 0.000000e+00 | 6.530000e-20 | -2.020000e-20 | 7.960000e-20 | 1.870000e-20 | -0.014610 | 0.000341 | 0.000224 | 0.000273 | 0.000254 | 0.000396 | 0.001007 | 0.002268 | 0.003767 | 0.004215 | 0.004697 | 0.005199 | 0.004324 | 0.013373 | 0.036869 | 0.063087 | 0.078064 | 0.131690 | 0.20354 | 0.19180 | 0.131770 | 0.089375 | 0.164870 | 0.26991 | 0.200990 | 0.091819 | 0.24065 | 0.360970 | 0.21776 | 0.021112 | 0.005276 | 0.004110 | 0.002876 | 0.002711 | 0.002696 | 0.002409 | 0.002966 | -0.009644 | -0.005025 | -0.006491 | -0.006014 | -0.008518 | -0.009241 | -0.016506 | -0.026006 | -0.026273 | -0.024160 | -0.026321 | -0.024286 | -0.048924 | -0.108390 | -0.19432 | -0.29603 | -0.46639 | -0.61778 | -0.59600 | -0.32867 | -0.26301 | -0.44541 | -0.66075 | -0.45846 | -0.24540 | -0.45883 | -0.65524 | -0.36007 | -0.060063 | -0.017824 | -0.013598 | -0.012346 | -0.009196 | -0.006933 | -0.006569 | -0.035389 | 0.014320 | 0.006662 | 0.006491 | 0.007475 | 0.008518 | 0.009443 | 0.016090 | 0.026006 | 0.028117 | 0.025222 | 0.022796 | 0.024286 | 0.048924 | 0.105750 | 0.20486 | 0.29603 | 0.46639 | 0.61778 | 0.59309 | 0.32867 | 0.26301 | 0.44541 | 0.66075 | 0.45846 | 0.24540 | 0.45883 | 0.64375 | 0.39877 | 0.056849 | 0.017824 | 0.014505 | 0.008493 | 0.009728 | 0.006753 | 0.006073 | -0.009046 | 0.86453 | 0.435380 | 1.110000e-15 | 0.367450 | 0.000000e+00 | -0.004310 | -0.005383 | -1.110000e-17 | -0.000829 | 0.001605 | -0.000362 | 1.010000e-15 | -5.850000e-17 | -0.003143 | 0.007433 | 1.510000e-17 | 2.210000e-17 | -9.370000e-18 | 0.000734 | -4.330000e-18 | -4.470000e-17 | -1.390000e-17 | -3.500000e-17 | -4.290000e-19 | -9.660000e-18 | -1.660000e-17 | 0.000115 | -0.102900 | 0.030756 | 7.070000e-17 | -0.086911 | -0.28507 | -0.173620 | 0.071728 | 0.010352 | -2.73030 | 66.5007 | 36.9934 | 26.3508 | 51.9577 | 21.5451 | 8.2488 | 8.0024 | 6.9635 | 6.9189 | 5.0622 | 4.6068 | 7.7218 | 2.7224 | 2.4171 | 2.9383 | 4.2077 | 3.1541 | 2.8531 | 2.7496 | 2.1550 | 2.9457 | 2.1993 | 1.9830 | 1.8314 | 2.0062 | 1.6058 | 1.5466 | 1.5620 | 2.6445 | 3.8686 | 4.2105 | 5.1221 | 4.4625 | 2.6202 | 3.0004 | 18.9405 | 1 |
| 1 | 0 | 1 | 0.76686 | 0.69481 | 0.53966 | 234 | 233 | 0.008258 | 0.000073 | 0.00195 | 0.000016 | 0.00052 | 0.00112 | 0.00157 | 0.05516 | 0.502 | 0.02320 | 0.03675 | 0.06195 | 0.06961 | 0.984322 | 0.017974 | 21.497 | 67.415903 | 73.046374 | 71.528945 | 564.363614 | 1016.367294 | 2383.565201 | 3498.681572 | 58.465428 | 86.487292 | 248.357127 | 218.229722 | 0.81250 | 13.8284 | 2.8908 | 1.02210 | 0.22004 | 0.127410 | 1298455.445 | 1.6029 | 3.0600 | 0.000615 | 0.000295 | 1.04550 | 243.0816 | 379.8429 | 1.3063 | 1.3177 | 24.0230 | 6.7916 | 21.8851 | 0.26839 | 6.2366 | 0.20336 | 9.6074 | 12.1387 | 8.5008 | 2.8986 | -0.46733 | 0.45984 | -1.3427 | -1.67590 | 0.17695 | 0.72944 | 0.236100 | 0.54722 | 0.057552 | -0.395550 | -0.001849 | -0.002700 | -0.002639 | 0.002915 | -0.001179 | -0.000777 | 0.001994 | -0.000110 | -0.000650 | 0.002529 | -0.000354 | -0.002985 | 0.001452 | 0.002505 | 0.000484 | -0.000012 | 0.001386 | -0.000717 | -0.001366 | 0.000163 | -0.000241 | -0.000614 | -0.000112 | 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0.078964 | 1.32540 | 3.7067 | 11.7870 | 9.2620 | 2.25620 | 31.78930 | 3.23810 | 3.8258 | -32588713.93 | -39329560.14 | -52167450.85 | -7.573630e+07 | -123243056.6 | -220947833.1 | -437011684.1 | -859038700.4 | -1.796706e+09 | -3750669277 | 1110.9296 | 669.8030 | 443.6442 | 321.6040 | 261.2809 | 233.8954 | 231.2326 | 227.1834 | 237.5807 | 247.9779 | 545.9031 | 1936.8183 | 6203.4329 | 18157.1896 | 47222.6429 | 111142.9462 | 236033.1031 | 502899.2766 | 1.005893e+06 | 2012043.365 | 3990.8171 | 10580.7939 | 26814.5173 | 63969.6745 | 145371.1558 | 314467.5684 | 6.427345e+05 | 1327168.357 | 2654568.330 | 5309694.850 | 100.0000 | 7.300000e-09 | 5.390000e-08 | 5.400000e-07 | 1.360000e-06 | 0.000002 | 1.600000e-06 | 2.370000e-07 | 3.260000e-06 | 4.110000e-07 | 5.660000e-07 | 0.000367 | 0.002234 | 0.017408 | 0.038292 | 0.050360 | 0.039943 | 0.007054 | 0.065741 | ... | 4.080000e-07 | 0.000000e+00 | 4.730000e-08 | 2.120000e-06 | -7.470000e-19 | 0.000016 | 0.000020 | 0.000021 | -5.290000e-18 | 1.480000e-18 | -0.000146 | -0.000276 | 0.000000 | 0.000000 | -7.320000e-17 | -0.000052 | 0.000000 | -4.010000e-18 | 3.070000e-17 | 3.850000e-17 | 0.000000 | 0.000000 | -3.790000e-17 | -0.009889 | 0.004587 | 0.000118 | 7.120000e-20 | 0.000026 | -0.000207 | -0.000080 | -0.000158 | 0.000013 | -0.013974 | -1.770000e-21 | 5.660000e-21 | -1.190000e-21 | 1.850000e-20 | 0.000000e+00 | 3.080000e-21 | -1.200000e-20 | 2.010000e-20 | 2.030000e-20 | 3.710000e-20 | -1.680000e-20 | -3.770000e-20 | -4.950000e-20 | 7.580000e-21 | 1.200000e-19 | -4.360000e-20 | -1.180000e-19 | 1.340000e-18 | 3.170000e-18 | 5.660000e-21 | 3.090000e-19 | -1.440000e-19 | 1.390000e-18 | 0.000000e+00 | 1.780000e-19 | 3.150000e-19 | -4.270000e-18 | 1.950000e-18 | 7.770000e-20 | -2.340000e-20 | 9.790000e-20 | -5.890000e-20 | -6.050000e-20 | 2.430000e-20 | -2.920000e-20 | -0.013605 | 0.000494 | 0.000325 | 0.000370 | 0.000383 | 0.000454 | 0.000731 | 0.001530 | 0.002911 | 0.003854 | 0.004451 | 0.005221 | 0.004344 | 0.011184 | 0.031117 | 0.055913 | 0.071183 | 0.128650 | 0.21443 | 0.19515 | 0.102920 | 0.068959 | 0.111710 | 0.19431 | 0.167210 | 0.070714 | 0.18846 | 0.310420 | 0.21896 | 0.029506 | 0.007229 | 0.005498 | 0.004219 | 0.003343 | 0.003103 | 0.003099 | 0.004780 | -0.070360 | -0.031668 | -0.031342 | -0.035671 | -0.039817 | -0.044589 | -0.050361 | -0.056267 | -0.061855 | -0.066933 | -0.070039 | -0.099695 | -0.112210 | -0.101340 | -0.17254 | -0.25945 | -0.34292 | -0.50757 | -0.47909 | -0.25345 | -0.19328 | -0.26291 | -0.36756 | -0.29252 | -0.15110 | -0.34059 | -0.53495 | -0.38570 | -0.135820 | -0.055053 | -0.031383 | -0.019211 | -0.014257 | -0.008747 | -0.007438 | -0.024711 | 0.048874 | 0.024703 | 0.031342 | 0.030946 | 0.039817 | 0.042343 | 0.047920 | 0.056267 | 0.055059 | 0.063234 | 0.080975 | 0.099695 | 0.112210 | 0.121580 | 0.18155 | 0.25945 | 0.34292 | 0.50757 | 0.47634 | 0.25345 | 0.19328 | 0.26291 | 0.36756 | 0.29252 | 0.15110 | 0.34059 | 0.50855 | 0.34973 | 0.092360 | 0.055053 | 0.033916 | 0.021793 | 0.017135 | 0.013696 | 0.013895 | 0.028459 | -32.31440 | -12.680900 | -3.290000e-15 | -7.259300 | -3.830000e-15 | -0.401950 | -0.101740 | 3.350000e-17 | -0.033633 | -0.024050 | 0.178080 | -3.680000e-15 | -2.350000e-17 | 0.006114 | -0.000092 | -7.090000e-18 | -3.910000e-18 | 8.750000e-18 | 0.000330 | -9.330000e-19 | -7.020000e-20 | -1.010000e-17 | 1.520000e-17 | -5.590000e-18 | 8.090000e-18 | -6.280000e-18 | 0.000098 | -0.005679 | -0.205900 | 3.630000e-16 | 0.482840 | 0.50453 | 0.684220 | 0.729330 | 0.780410 | 5.22940 | 8643.9860 | 3962.0554 | 2976.2411 | 4329.0607 | 4005.1329 | 1127.6762 | 116.5331 | 20.2332 | 13.6395 | 12.5514 | 13.6965 | 60.8974 | 6.2958 | 3.0323 | 3.4039 | 4.3794 | 2.4329 | 2.0585 | 2.1839 | 2.2061 | 3.0999 | 1.9824 | 1.6227 | 1.5783 | 2.0470 | 1.5772 | 1.5530 | 1.5589 | 3.6107 | 23.5155 | 14.1962 | 11.0261 | 9.5082 | 6.5245 | 6.3431 | 45.1780 | 1 |
| 2 | 0 | 1 | 0.85083 | 0.67604 | 0.58982 | 232 | 231 | 0.008340 | 0.000060 | 0.00176 | 0.000015 | 0.00057 | 0.00111 | 0.00171 | 0.09902 | 0.897 | 0.05094 | 0.06497 | 0.07772 | 0.15282 | 0.974846 | 0.026313 | 17.651 | 62.661706 | 71.633549 | 68.086583 | 548.444604 | 1032.406341 | 2357.826954 | 3678.128717 | 160.387771 | 54.685168 | 151.694847 | 84.240339 | 0.81818 | 26.9273 | 2.6975 | 0.84951 | 0.15756 | 0.116890 | 1272869.841 | 1.6223 | 3.0309 | 0.000360 | 0.000266 | 0.63668 | 238.5976 | 386.4739 | 1.2614 | 1.3078 | 60.0458 | 11.3376 | 41.7310 | 0.23034 | 4.8081 | 0.17296 | 9.0512 | 11.3956 | 7.6362 | 3.2208 | -0.48228 | 0.28918 | -1.7334 | -1.49290 | 0.70520 | 0.51173 | 0.166150 | 0.79354 | 0.286980 | -0.645550 | 0.001088 | -0.008168 | 0.002542 | 0.007424 | -0.001044 | 0.000177 | -0.000622 | 0.000619 | -0.002684 | -0.000304 | 0.003610 | 0.000217 | -0.000004 | -0.000470 | 0.000354 | 0.000057 | 0.000333 | 0.000741 | -0.000158 | -0.000605 | 0.000025 | -0.000567 | -0.000400 | -0.000037 | 0.000272 | -0.000032 | -0.000166 | -0.000298 | 0.52574 | 0.92039 | 0.53346 | 0.73041 | 0.31337 | 0.44232 | 0.31980 | 0.31467 | 0.30139 | 0.21901 | 0.25827 | 0.22618 | 0.21208 | 0.21200 | 0.109450 | 0.14938 | 0.095065 | 0.151790 | 0.045403 | 0.089970 | 0.060735 | 0.054611 | 0.051511 | 0.032326 | 0.047357 | 0.031811 | 0.036249 | 0.038433 | 0.039709 | 0.068793 | 0.040982 | 0.068545 | 0.024740 | 0.039222 | 0.025675 | 0.024607 | 0.024819 | 0.016553 | 0.023186 | 0.017217 | 0.015073 | 0.016257 | 99.9999 | 1.170000e-07 | 9.450000e-07 | 0.000010 | 0.000034 | 0.000024 | 0.000035 | 0.000002 | 0.000001 | 0.000001 | 0.000016 | 1.3584 | 5.5814 | -1.95310 | -1.373999e+02 | -1.024895e+02 | -1.993564e+02 | 1.124400e+00 | 1.595700e+00 | 1.908000e+00 | -7.653440e+01 | -787.2253 | -282.1190 | -51.3601 | -10.8033 | -20.2164 | -28.7072 | -51.3476 | -49.4374 | -59.2535 | -39.3774 | 0.001819 | 0.024522 | 0.61458 | 3.2812 | 2.4414 | 4.2210 | 0.25417 | 0.097087 | 0.17991 | 3.1849 | 0.003115 | 0.044685 | 0.69551 | 4.5176 | 5.8584 | 9.2128 | 0.49192 | 0.36858 | 0.31332 | 5.9953 | -31864278.37 | -38418848.45 | -50880181.14 | -7.373527e+07 | -119780270.0 | -214375881.7 | -423881698.8 | -832850139.0 | -1.742079e+09 | -3636913180 | 1108.7207 | 668.4952 | 442.7709 | 320.9607 | 260.7518 | 233.4170 | 230.7762 | 226.7479 | 237.1451 | 247.5423 | 536.3497 | 1890.9098 | 6055.5718 | 17702.5791 | 46038.8972 | 108262.1579 | 230020.8923 | 490695.5293 | 9.813527e+05 | 1962144.341 | 3923.9493 | 10408.7249 | 26070.3366 | 62510.6817 | 141953.0747 | 305549.8724 | 6.285763e+05 | 1295706.406 | 2588074.975 | 5177908.600 | 100.0000 | 5.130000e-09 | 4.130000e-08 | 4.530000e-07 | 1.460000e-06 | 0.000001 | 1.510000e-06 | 7.280000e-08 | 5.980000e-08 | 4.820000e-08 | 7.070000e-07 | 0.000268 | 0.001781 | 0.015126 | 0.039745 | 0.028471 | 0.037096 | 0.002528 | 0.002126 | ... | -2.930000e-07 | 0.000000e+00 | 9.400000e-07 | -5.180000e-06 | -5.360000e-19 | 0.000007 | -0.000005 | 0.000017 | -9.790000e-19 | -3.740000e-19 | 0.000045 | 0.000152 | 0.000000 | 0.000000 | -4.580000e-17 | -0.001346 | 0.000000 | -1.190000e-17 | -8.650000e-18 | 1.320000e-17 | 0.000000 | 0.000000 | -1.580000e-17 | 0.004349 | -0.004803 | 0.000143 | 1.420000e-19 | 0.000179 | 0.000005 | -0.000011 | -0.000136 | 0.000163 | -0.014231 | 9.440000e-22 | -5.040000e-22 | -3.290000e-22 | -1.470000e-21 | 2.600000e-22 | 3.100000e-21 | -9.070000e-21 | -2.910000e-22 | -1.050000e-21 | 9.080000e-21 | 7.080000e-22 | 2.580000e-21 | -1.200000e-20 | -1.130000e-19 | 1.470000e-19 | -5.180000e-20 | -7.420000e-20 | 1.050000e-18 | -2.190000e-18 | -6.030000e-20 | 1.760000e-19 | 1.520000e-19 | 9.510000e-19 | 1.880000e-19 | 1.880000e-20 | -2.700000e-19 | -2.120000e-18 | 2.660000e-18 | 1.750000e-19 | 2.340000e-20 | -5.600000e-20 | -1.680000e-20 | 3.530000e-20 | 3.030000e-20 | 2.190000e-20 | -0.014115 | 0.000358 | 0.000210 | 0.000210 | 0.000188 | 0.000243 | 0.000583 | 0.001324 | 0.002199 | 0.002269 | 0.002519 | 0.003136 | 0.002657 | 0.008093 | 0.023083 | 0.041144 | 0.051791 | 0.085754 | 0.14092 | 0.14184 | 0.095104 | 0.041440 | 0.049543 | 0.08761 | 0.080447 | 0.046176 | 0.12795 | 0.216780 | 0.16125 | 0.025637 | 0.006643 | 0.004829 | 0.003522 | 0.003161 | 0.003100 | 0.002819 | 0.002595 | -0.012335 | -0.006522 | -0.006195 | -0.006366 | -0.007157 | -0.008610 | -0.010690 | -0.012677 | -0.013539 | -0.015216 | -0.019435 | -0.026241 | -0.039886 | -0.081836 | -0.15447 | -0.20036 | -0.28375 | -0.47225 | -0.43444 | -0.23779 | -0.13881 | -0.12276 | -0.17184 | -0.21641 | -0.24864 | -0.25490 | -0.35313 | -0.26568 | -0.066929 | -0.038477 | -0.024064 | -0.018601 | -0.012998 | -0.008033 | -0.007471 | -0.020294 | 0.006892 | 0.004570 | 0.006195 | 0.004594 | 0.007157 | 0.005706 | 0.008059 | 0.012677 | 0.012269 | 0.011110 | 0.013810 | 0.026241 | 0.039886 | 0.081818 | 0.17028 | 0.20036 | 0.28375 | 0.47225 | 0.43091 | 0.23779 | 0.13881 | 0.12276 | 0.17184 | 0.21641 | 0.24864 | 0.25490 | 0.36358 | 0.26786 | 0.074982 | 0.038477 | 0.029836 | 0.020569 | 0.011885 | 0.009445 | 0.008165 | -0.002629 | -0.55520 | -0.495120 | -3.420000e-15 | -1.354700 | -4.930000e-15 | -0.190220 | -0.040808 | 7.430000e-17 | -0.016802 | -0.031809 | -0.006751 | 2.320000e-16 | -7.030000e-17 | 0.006447 | -0.005623 | -1.960000e-16 | -2.070000e-17 | -1.000000e-17 | 0.004345 | -8.020000e-18 | 1.200000e-16 | 4.890000e-17 | 3.920000e-17 | 2.460000e-18 | 1.120000e-16 | -1.140000e-17 | 0.000402 | -0.003824 | 0.020236 | -3.900000e-17 | 0.301650 | 0.17050 | -0.060885 | 0.269510 | -0.005522 | 0.35054 | 29.2717 | 32.4971 | 38.9453 | 85.1480 | 62.5132 | 9.7308 | 6.8890 | 6.1357 | 5.4926 | 3.9078 | 4.0864 | 6.9828 | 3.4411 | 3.5173 | 3.7204 | 4.2212 | 3.4881 | 3.4851 | 3.3007 | 2.0427 | 3.1436 | 2.1203 | 1.6627 | 1.6731 | 3.2597 | 1.5921 | 1.5399 | 1.5643 | 2.3308 | 9.4959 | 10.7458 | 11.0177 | 4.8066 | 2.9199 | 3.1495 | 4.7666 | 1 |
| 3 | 1 | 0 | 0.41121 | 0.79672 | 0.59257 | 178 | 177 | 0.010858 | 0.000183 | 0.00419 | 0.000046 | 0.00149 | 0.00268 | 0.00446 | 0.05451 | 0.527 | 0.02395 | 0.02857 | 0.04462 | 0.07185 | 0.968343 | 0.042003 | 19.865 | 76.306989 | 81.000749 | 79.190593 | 819.529588 | 1201.813897 | 3154.035654 | 4122.163933 | 238.667052 | 191.984916 | 573.752909 | 526.147599 | 0.98548 | 139.5744 | 1.6961 | 0.83405 | 0.17295 | 0.147370 | 1932289.206 | 1.6717 | 3.0293 | 0.000196 | 0.000194 | 0.45452 | 79.0921 | 161.1054 | 1.2369 | 1.2986 | 83.6201 | 5.0784 | 35.8179 | 0.23529 | 4.2629 | 0.17510 | 9.8453 | 13.7399 | 6.7365 | 3.1023 | 0.75419 | -1.55900 | -1.0083 | -0.65556 | 0.86495 | 1.48370 | -0.153650 | -0.89378 | -0.754270 | 0.077452 | -0.000720 | -0.007600 | 0.001532 | 0.000650 | 0.001284 | -0.000516 | 0.001438 | 0.000310 | -0.001449 | -0.000706 | 0.000487 | -0.002997 | -0.000970 | 0.001058 | -0.000112 | 0.000653 | -0.001144 | 0.000094 | 0.000218 | 0.000617 | -0.000823 | 0.000195 | 0.000263 | -0.000232 | 0.000467 | 0.000103 | -0.000132 | -0.000080 | 0.21182 | 1.07120 | 0.70803 | 0.59415 | 0.38868 | 0.27861 | 0.31571 | 0.20935 | 0.23498 | 0.24529 | 0.19689 | 0.20629 | 0.20627 | 0.25169 | 0.039296 | 0.18326 | 0.099350 | 0.072753 | 0.046507 | 0.046017 | 0.045901 | 0.035774 | 0.035142 | 0.032577 | 0.024291 | 0.032300 | 0.029051 | 0.037164 | 0.015560 | 0.074119 | 0.040403 | 0.030155 | 0.019442 | 0.018382 | 0.018555 | 0.017274 | 0.016129 | 0.015533 | 0.011976 | 0.015529 | 0.013770 | 0.015713 | 99.0823 | 8.545600e-03 | 2.058600e-02 | 0.025449 | 0.041488 | 0.062341 | 0.090279 | 0.133310 | 0.234650 | 0.067636 | 0.233380 | -97087.3060 | -279305.8601 | -347307.97100 | -6.050877e+05 | -1.018351e+06 | -1.571526e+06 | -2.432333e+06 | -4.520939e+06 | -1.187850e+06 | -4.571330e+06 | -328.3795 | 105.9933 | 118.3538 | 145.1279 | 127.0736 | 115.1613 | 99.4862 | 102.5224 | 94.2247 | 109.5148 | 129.933600 | 383.699000 | 1077.80440 | 2857.1343 | 3233.2456 | 8715.5558 | 12621.05520 | 41833.392000 | 7594.75480 | 37684.4579 | 432.370800 | 1682.659500 | 2707.54150 | 5456.4506 | 10590.0428 | 18444.5045 | 26794.43720 | 61373.06100 | 16630.27430 | 72647.0576 | -44854174.87 | -50479679.82 | -60032621.59 | -7.660933e+07 | -109696232.2 | -176812107.4 | -330129338.5 | -625193831.3 | -1.306602e+09 | -2722133496 | 1114.4630 | 669.4187 | 440.8719 | 318.0211 | 257.2300 | 229.4475 | 226.5624 | 222.5964 | 233.0128 | 243.4450 | 1901.8331 | 4692.7977 | 10378.0764 | 22556.3120 | 44691.4166 | 97623.3041 | 184765.6410 | 377576.4933 | 7.358128e+05 | 1507172.433 | 11489.6961 | 27458.8885 | 60867.3395 | 110362.2373 | 200062.7545 | 314057.2871 | 7.030022e+05 | 1002359.597 | 2359863.040 | 4011147.820 | 99.9734 | 2.475100e-04 | 5.856900e-04 | 7.364100e-04 | 1.226000e-03 | 0.001834 | 2.571300e-03 | 3.857800e-03 | 6.725900e-03 | 1.920600e-03 | 6.912400e-03 | 2.495600 | 3.469100 | 4.182000 | 4.604900 | 0.663200 | -3.994400 | -12.521200 | -34.856200 | ... | 3.580000e-06 | -3.380000e-06 | -4.610000e-06 | -9.200000e-06 | -1.100000e-06 | 0.000037 | -0.000018 | -0.000043 | 1.620000e-06 | -7.110000e-05 | 0.000644 | -0.000502 | -0.000005 | 0.000458 | -8.971200e-04 | 0.000240 | 0.001378 | 2.527000e-03 | -2.344000e-04 | -4.017500e-04 | -0.003730 | 0.002295 | 1.105400e-03 | -0.000034 | 0.000873 | 0.000256 | -6.247100e-04 | 0.001806 | 0.001014 | 0.001869 | -0.000313 | 0.000906 | -0.003407 | -4.480000e-21 | 1.210000e-20 | -1.120000e-20 | -5.400000e-21 | -7.100000e-21 | -1.410000e-20 | -8.810000e-21 | 2.490000e-20 | 2.940000e-20 | 1.220000e-21 | 5.630000e-20 | -3.160000e-20 | 2.560000e-19 | -1.230000e-18 | -9.090000e-20 | 5.090000e-20 | -1.070000e-19 | -2.800000e-19 | -1.260000e-19 | 1.430000e-19 | 7.780000e-19 | -2.170000e-19 | 2.870000e-18 | -6.250000e-20 | 2.830000e-18 | -2.340000e-18 | 5.940000e-19 | -1.620000e-18 | 4.660000e-19 | -2.060000e-18 | 5.040000e-19 | 5.730000e-19 | -2.420000e-19 | 2.430000e-20 | -5.540000e-19 | 0.001251 | 0.001587 | 0.001564 | 0.001716 | 0.002003 | 0.002512 | 0.002267 | 0.003178 | 0.004850 | 0.005975 | 0.005234 | 0.004537 | 0.016104 | 0.051620 | 0.107080 | 0.158720 | 0.198390 | 0.194870 | 0.16829 | 0.14238 | 0.170260 | 0.239650 | 0.232180 | 0.40929 | 0.891050 | 1.156400 | 0.56424 | 0.108530 | 0.20058 | 0.233870 | 0.114790 | 0.049383 | 0.044040 | 0.038407 | 0.037596 | 0.036562 | 0.097670 | -0.083880 | -0.042498 | -0.048721 | -0.051463 | -0.060416 | -0.069825 | -0.078876 | -0.089012 | -0.099344 | -0.110820 | -0.121640 | -0.129990 | -0.268930 | -0.586380 | -0.84814 | -0.91013 | -0.82669 | -0.65225 | -0.52657 | -0.41462 | -0.54714 | -0.68398 | -1.02680 | -2.09730 | -2.36090 | -1.27240 | -0.66787 | -0.70187 | -0.671820 | -0.506900 | -0.358560 | -0.175740 | -0.154480 | -0.111170 | -0.184540 | -0.310740 | 0.120480 | 0.056334 | 0.053598 | 0.059935 | 0.067180 | 0.076199 | 0.083617 | 0.088373 | 0.103800 | 0.117990 | 0.111290 | 0.122970 | 0.273530 | 0.567740 | 0.83417 | 0.94236 | 0.87739 | 0.76014 | 0.50019 | 0.39757 | 0.55106 | 0.61714 | 0.95174 | 2.13880 | 2.38800 | 1.23460 | 0.59222 | 0.68665 | 0.676480 | 0.486490 | 0.254560 | 0.154360 | 0.133160 | 0.161530 | 0.120000 | 0.440710 | 4.27060 | 0.616730 | 6.455000e-02 | 0.273230 | 2.917600e-02 | 0.179870 | 0.156260 | -1.866300e-02 | -0.014528 | 0.051052 | 0.022622 | -3.042800e-02 | 3.480400e-02 | 0.000153 | 0.009561 | 1.837600e-03 | 9.035600e-03 | 1.939000e-03 | 0.052791 | -1.296300e-03 | -1.281100e-03 | -1.408200e-02 | -1.239600e-03 | 4.244100e-03 | 9.940000e-05 | -1.795500e-02 | -0.073310 | 0.027619 | 0.005381 | -1.773300e-02 | -0.767920 | -0.13315 | -0.367170 | 0.366920 | -0.492650 | 0.19164 | 591.0116 | 65.3827 | 53.9852 | 45.4458 | 34.6650 | 88.3259 | 46.6869 | 23.2911 | 19.2022 | 42.3957 | 100.3649 | 7.1967 | 6.3892 | 6.5496 | 6.0264 | 4.7656 | 4.8909 | 4.2531 | 3.0295 | 2.0362 | 1.8478 | 2.5776 | 2.2064 | 1.9491 | 1.9120 | 1.8829 | 6.9761 | 3.7805 | 3.5664 | 5.2558 | 14.0403 | 4.2235 | 4.6857 | 4.8460 | 6.2650 | 4.0603 | 1 |
| 4 | 1 | 0 | 0.32790 | 0.79782 | 0.53028 | 236 | 235 | 0.008162 | 0.002669 | 0.00535 | 0.000044 | 0.00166 | 0.00227 | 0.00499 | 0.05610 | 0.497 | 0.02909 | 0.03327 | 0.05278 | 0.08728 | 0.975754 | 0.027139 | 19.557 | 76.645686 | 80.937258 | 79.183495 | 846.796144 | 1215.346469 | 3201.513132 | 4085.456839 | 402.216738 | 210.061394 | 203.637106 | 384.611697 | 0.97847 | 102.0549 | 15.4045 | 0.83556 | 0.16210 | 0.151990 | 1861807.802 | 1.6781 | 3.0362 | 0.000281 | 0.000175 | 0.71541 | 53.6764 | 164.4029 | 1.2360 | 1.3156 | 102.9371 | 5.6022 | 31.5211 | 0.30603 | 6.3500 | 0.21877 | 10.1542 | 14.7643 | 6.4634 | 2.9451 | 0.83210 | -1.75500 | -1.0392 | -0.51876 | 0.94225 | 1.54980 | -0.202080 | -1.03360 | -0.880070 | -0.103460 | 0.001995 | -0.000891 | -0.001809 | 0.004247 | -0.000704 | -0.001753 | 0.000913 | 0.004485 | -0.003392 | -0.001008 | 0.001829 | -0.001250 | -0.000751 | -0.001325 | -0.000211 | -0.001466 | 0.000946 | 0.000365 | -0.000235 | -0.000170 | 0.000646 | -0.000398 | 0.000256 | 0.000576 | -0.000285 | 0.000177 | 0.000140 | 0.000035 | 0.17405 | 0.81706 | 0.43786 | 0.43213 | 0.26670 | 0.29672 | 0.19240 | 0.22488 | 0.25130 | 0.22090 | 0.17459 | 0.23269 | 0.20141 | 0.21294 | 0.028652 | 0.17084 | 0.064960 | 0.069561 | 0.046887 | 0.047531 | 0.033966 | 0.029721 | 0.033943 | 0.031989 | 0.026002 | 0.028222 | 0.030469 | 0.028731 | 0.011037 | 0.069915 | 0.026953 | 0.030160 | 0.022486 | 0.020515 | 0.017161 | 0.013791 | 0.016059 | 0.014382 | 0.012686 | 0.014478 | 0.013402 | 0.013618 | 98.6930 | 7.861100e-03 | 1.123800e-02 | 0.014564 | 0.055365 | 0.030612 | 0.057492 | 0.113500 | 0.123360 | 0.101750 | 0.791240 | -115393.5436 | -173099.5546 | -235961.64100 | -1.054960e+06 | -5.759867e+05 | -1.170598e+06 | -2.613414e+06 | -2.797297e+06 | -2.228969e+06 | -2.089139e+07 | -231.7629 | 67.8393 | 141.8058 | 177.2765 | 129.2619 | 103.6704 | 101.5425 | 100.3828 | 112.0031 | 138.1052 | 113.394700 | 380.627700 | 869.24010 | 4307.7861 | 3436.9623 | 5521.4215 | 13703.59560 | 9676.360300 | 13545.68690 | 134568.1745 | 437.941800 | 933.581200 | 1522.96350 | 7995.9587 | 6601.1111 | 14594.4305 | 35910.80060 | 42206.54280 | 22655.66220 | 228423.4102 | -59737876.86 | -66995068.86 | -80313780.59 | -1.003577e+08 | -140671395.9 | -225887933.1 | -425927317.4 | -786450935.2 | -1.640684e+09 | -3391441982 | 1150.7588 | 687.9315 | 451.0732 | 323.8359 | 260.5085 | 231.7202 | 228.6784 | 224.1464 | 234.5705 | 245.0186 | 1921.2283 | 5938.5628 | 16402.1087 | 37106.4026 | 87904.0887 | 189806.4877 | 404982.5071 | 853765.7904 | 1.713112e+06 | 3158402.899 | 11366.1022 | 29064.1478 | 72348.0929 | 140910.6033 | 318496.1060 | 713080.2915 | 1.119327e+06 | 2556027.478 | 4504909.124 | 8579124.177 | 99.9541 | 2.686400e-04 | 3.879400e-04 | 4.966200e-04 | 1.928400e-03 | 0.001070 | 1.999400e-03 | 4.102300e-03 | 4.380400e-03 | 3.616600e-03 | 2.765900e-02 | 2.482600 | 3.110000 | 3.341000 | 3.901600 | 2.594700 | -0.122650 | -18.428700 | -16.834000 | ... | -6.300000e-07 | 1.600000e-09 | -7.060000e-06 | -6.170000e-06 | -1.360000e-07 | 0.000015 | -0.000027 | -0.000006 | -2.640000e-05 | -9.270000e-05 | -0.000317 | -0.000833 | 0.000120 | -0.000160 | -1.372500e-04 | 0.000346 | 0.000844 | 2.147300e-03 | 2.843900e-03 | 2.721900e-04 | -0.002351 | 0.017662 | 8.909500e-03 | 0.000374 | -0.000449 | -0.000794 | -4.292000e-04 | 0.000482 | -0.000885 | -0.000391 | 0.000663 | -0.000291 | -0.003433 | -1.800000e-21 | 5.240000e-21 | -2.460000e-21 | -2.700000e-21 | 5.720000e-21 | 3.670000e-21 | 2.640000e-22 | -1.030000e-20 | -1.170000e-20 | -1.830000e-21 | 1.280000e-20 | -3.590000e-20 | 1.020000e-19 | -3.110000e-19 | -5.820000e-19 | 2.640000e-19 | 1.310000e-19 | -3.300000e-19 | 1.090000e-18 | -2.040000e-19 | -1.700000e-18 | 1.770000e-18 | 1.110000e-18 | -1.220000e-18 | -1.950000e-18 | -8.110000e-19 | 1.280000e-19 | -2.430000e-20 | -3.160000e-20 | 1.400000e-19 | -1.120000e-19 | -1.180000e-19 | -4.030000e-20 | 1.880000e-19 | -2.190000e-20 | 0.000367 | 0.001478 | 0.001725 | 0.002077 | 0.002099 | 0.002526 | 0.002303 | 0.002850 | 0.004911 | 0.006632 | 0.005222 | 0.003931 | 0.015422 | 0.051298 | 0.111210 | 0.169000 | 0.197900 | 0.172300 | 0.14848 | 0.14000 | 0.171210 | 0.249550 | 0.206070 | 0.37040 | 0.888380 | 1.187900 | 0.59964 | 0.080751 | 0.14038 | 0.160080 | 0.078323 | 0.044103 | 0.044263 | 0.040032 | 0.028778 | 0.026253 | 0.106320 | -0.039576 | -0.020694 | -0.024406 | -0.024440 | -0.032103 | -0.033566 | -0.037229 | -0.049975 | -0.056474 | -0.066787 | -0.078138 | -0.115900 | -0.227210 | -0.505800 | -0.86047 | -0.93465 | -0.77137 | -0.62996 | -0.45541 | -0.46073 | -0.56218 | -0.55034 | -1.00870 | -1.74840 | -2.28820 | -1.18590 | -0.42028 | -0.52318 | -0.575900 | -0.365840 | -0.142190 | -0.204260 | -0.221940 | -0.148020 | -0.113320 | -0.406580 | 0.059090 | 0.026789 | 0.021314 | 0.027942 | 0.028856 | 0.036384 | 0.038050 | 0.049211 | 0.060046 | 0.072172 | 0.086621 | 0.102950 | 0.235860 | 0.567490 | 0.74186 | 0.75783 | 0.80918 | 0.58794 | 0.44788 | 0.46352 | 0.63134 | 0.55267 | 1.04250 | 1.74970 | 2.28370 | 1.35380 | 0.49868 | 0.57971 | 0.623640 | 0.384470 | 0.189870 | 0.206310 | 0.209420 | 0.135500 | 0.092719 | 0.445130 | 0.39147 | 0.032907 | -4.187600e-03 | 0.005982 | -1.890000e-02 | -0.037698 | -0.114170 | -1.775300e-02 | -0.009927 | -0.010845 | 0.115230 | 7.083800e-03 | 1.791500e-02 | 0.006910 | -0.005165 | -4.920000e-03 | -5.740400e-03 | -3.680500e-03 | -0.017182 | -5.397100e-03 | 3.441400e-03 | 1.298500e-03 | 3.069000e-03 | 7.456300e-04 | 4.850000e-05 | 5.015800e-02 | 0.011784 | 0.011756 | -0.008074 | -1.896400e-02 | 0.419690 | 0.29168 | -0.071687 | -0.378360 | -0.035805 | 0.26596 | 32.0393 | 7.2343 | 6.5540 | 6.4520 | 6.9274 | 10.2265 | 14.2579 | 10.6181 | 8.6143 | 9.5822 | 34.0835 | 4.1139 | 3.6718 | 4.4360 | 4.5793 | 3.9447 | 4.1253 | 3.4869 | 2.4627 | 2.1073 | 1.9056 | 2.2214 | 2.0588 | 1.8157 | 1.7577 | 1.8821 | 7.8832 | 6.1727 | 5.8416 | 6.0805 | 5.7621 | 7.7817 | 11.6891 | 8.2103 | 5.0559 | 6.1164 | 1 |
5 rows × 755 columns
for c in data.columns[2:-1]:
data[c] = (data[c] - data[c].mean()) / data[c].std()
data.head()
| -id | -gender | Baseline Features-PPE | Baseline Features-DFA | Baseline Features-RPDE | Baseline Features-numPulses | Baseline Features-numPeriodsPulses | Baseline Features-meanPeriodPulses | Baseline Features-stdDevPeriodPulses | Baseline Features-locPctJitter | Baseline Features-locAbsJitter | Baseline Features-rapJitter | Baseline Features-ppq5Jitter | Baseline Features-ddpJitter | Baseline Features-locShimmer | Baseline Features-locDbShimmer | Baseline Features-apq3Shimmer | Baseline Features-apq5Shimmer | Baseline Features-apq11Shimmer | Baseline Features-ddaShimmer | Baseline Features-meanAutoCorrHarmonicity | Baseline Features-meanNoiseToHarmHarmonicity | Baseline Features-meanHarmToNoiseHarmonicity | Intensity Parameters-minIntensity | Intensity Parameters-maxIntensity | Intensity Parameters-meanIntensity | Formant Frequencies-f1 | Formant Frequencies-f2 | Formant Frequencies-f3 | Formant Frequencies-f4 | Bandwidth Parameters-b1 | Bandwidth Parameters-b2 | Bandwidth Parameters-b3 | Bandwidth Parameters-b4 | Vocal Fold-GQ_prc5_95 | Vocal Fold-GQ_std_cycle_open | Vocal Fold-GQ_std_cycle_closed | Vocal Fold-GNE_mean | Vocal Fold-GNE_std | Vocal Fold-GNE_SNR_TKEO | Vocal Fold-GNE_SNR_SEO | Vocal Fold-GNE_NSR_TKEO | Vocal Fold-GNE_NSR_SEO | Vocal Fold-VFER_mean | Vocal Fold-VFER_std | Vocal Fold-VFER_entropy | Vocal Fold-VFER_SNR_TKEO | Vocal Fold-VFER_SNR_SEO | Vocal Fold-VFER_NSR_TKEO | Vocal Fold-VFER_NSR_SEO | Vocal Fold-IMF_SNR_SEO | Vocal Fold-IMF_SNR_TKEO | Vocal Fold-IMF_SNR_entropy | Vocal Fold-IMF_NSR_SEO | Vocal Fold-IMF_NSR_TKEO | Vocal Fold-IMF_NSR_entropy | MFCC -mean_Log_energy | MFCC -mean_MFCC_0th_coef | MFCC -mean_MFCC_1st_coef | MFCC -mean_MFCC_2nd_coef | MFCC -mean_MFCC_3rd_coef | MFCC -mean_MFCC_4th_coef | MFCC -mean_MFCC_5th_coef | MFCC -mean_MFCC_6th_coef | MFCC -mean_MFCC_7th_coef | MFCC -mean_MFCC_8th_coef | MFCC -mean_MFCC_9th_coef | MFCC -mean_MFCC_10th_coef | MFCC -mean_MFCC_11th_coef | MFCC -mean_MFCC_12th_coef | MFCC -mean_delta_log_energy | MFCC -mean_0th_delta | MFCC -mean_1st_delta | MFCC -mean_2nd_delta | MFCC -mean_3rd_delta | MFCC -mean_4th_delta | MFCC -mean_5th_delta | MFCC -mean_6th_delta | MFCC -mean_7th_delta | MFCC -mean_8th_delta | MFCC -mean_9th_delta | MFCC -mean_10th_delta | MFCC -mean_11th_delta | MFCC -mean_12th_delta | MFCC -mean_delta_delta_log_energy | MFCC -mean_delta_delta_0th | MFCC -mean_1st_delta_delta | MFCC -mean_2nd_delta_delta | MFCC -mean_3rd_delta_delta | MFCC -mean_4th_delta_delta | MFCC -mean_5th_delta_delta | MFCC -mean_6th_delta_delta | MFCC -mean_7th_delta_delta | MFCC -mean_8th_delta_delta | MFCC -mean_9th_delta_delta | MFCC -mean_10th_delta_delta | MFCC -mean_11th_delta_delta | MFCC -mean_12th_delta_delta | MFCC -std_Log_energy | MFCC -std_MFCC_0th_coef | MFCC -std_MFCC_1st_coef | MFCC -std_MFCC_2nd_coef | MFCC -std_MFCC_3rd_coef | MFCC -std_MFCC_4th_coef | MFCC -std_MFCC_5th_coef | MFCC -std_MFCC_6th_coef | MFCC -std_MFCC_7th_coef | MFCC -std_MFCC_8th_coef | MFCC -std_MFCC_9th_coef | MFCC -std_MFCC_10th_coef | MFCC -std_MFCC_11th_coef | MFCC -std_MFCC_12th_coef | MFCC -std_delta_log_energy | MFCC -std_0th_delta | MFCC -std_1st_delta | MFCC -std_2nd_delta | MFCC -std_3rd_delta | MFCC -std_4th_delta | MFCC -std_5th_delta | MFCC -std_6th_delta | MFCC -std_7th_delta | MFCC -std_8th_delta | MFCC -std_9th_delta | MFCC -std_10th_delta | MFCC -std_11th_delta | MFCC -std_12th_delta | MFCC -std_delta_delta_log_energy | MFCC -std_delta_delta_0th | MFCC -std_1st_delta_delta | MFCC -std_2nd_delta_delta | MFCC -std_3rd_delta_delta | MFCC -std_4th_delta_delta | MFCC -std_5th_delta_delta | MFCC -std_6th_delta_delta | MFCC -std_7th_delta_delta | MFCC -std_8th_delta_delta | MFCC -std_9th_delta_delta | MFCC -std_10th_delta_delta | MFCC -std_11th_delta_delta | MFCC -std_12th_delta_delta | Wavelet Features-Ea | Wavelet Features-Ed_1_coef | Wavelet Features-Ed_2_coef | Wavelet Features-Ed_3_coef | Wavelet Features-Ed_4_coef | Wavelet Features-Ed_5_coef | Wavelet Features-Ed_6_coef | Wavelet Features-Ed_7_coef | Wavelet Features-Ed_8_coef | Wavelet Features-Ed_9_coef | Wavelet Features-Ed_10_coef | Wavelet Features-det_entropy_shannon_1_coef | Wavelet Features-det_entropy_shannon_2_coef | Wavelet Features-det_entropy_shannon_3_coef | Wavelet Features-det_entropy_shannon_4_coef | Wavelet Features-det_entropy_shannon_5_coef | Wavelet Features-det_entropy_shannon_6_coef | Wavelet Features-det_entropy_shannon_7_coef | Wavelet Features-det_entropy_shannon_8_coef | Wavelet Features-det_entropy_shannon_9_coef | Wavelet Features-det_entropy_shannon_10_coef | Wavelet Features-det_entropy_log_1_coef | Wavelet Features-det_entropy_log_2_coef | Wavelet Features-det_entropy_log_3_coef | Wavelet Features-det_entropy_log_4_coef | Wavelet Features-det_entropy_log_5_coef | Wavelet Features-det_entropy_log_6_coef | Wavelet Features-det_entropy_log_7_coef | Wavelet Features-det_entropy_log_8_coef | Wavelet Features-det_entropy_log_9_coef | Wavelet Features-det_entropy_log_10_coef | Wavelet Features-det_TKEO_mean_1_coef | Wavelet Features-det_TKEO_mean_2_coef | Wavelet Features-det_TKEO_mean_3_coef | Wavelet Features-det_TKEO_mean_4_coef | Wavelet Features-det_TKEO_mean_5_coef | Wavelet Features-det_TKEO_mean_6_coef | Wavelet Features-det_TKEO_mean_7_coef | Wavelet Features-det_TKEO_mean_8_coef | Wavelet Features-det_TKEO_mean_9_coef | Wavelet Features-det_TKEO_mean_10_coef | Wavelet Features-det_TKEO_std_1_coef | Wavelet Features-det_TKEO_std_2_coef | Wavelet Features-det_TKEO_std_3_coef | Wavelet Features-det_TKEO_std_4_coef | Wavelet Features-det_TKEO_std_5_coef | Wavelet Features-det_TKEO_std_6_coef | Wavelet Features-det_TKEO_std_7_coef | Wavelet Features-det_TKEO_std_8_coef | Wavelet Features-det_TKEO_std_9_coef | Wavelet Features-det_TKEO_std_10_coef | Wavelet Features-app_entropy_shannon_1_coef | Wavelet Features-app_entropy_shannon_2_coef | Wavelet Features-app_entropy_shannon_3_coef | Wavelet Features-app_entropy_shannon_4_coef | Wavelet Features-app_entropy_shannon_5_coef | Wavelet Features-app_entropy_shannon_6_coef | Wavelet Features-app_entropy_shannon_7_coef | Wavelet Features-app_entropy_shannon_8_coef | Wavelet Features-app_entropy_shannon_9_coef | Wavelet Features-app_entropy_shannon_10_coef | Wavelet Features-app_entropy_log_1_coef | Wavelet Features-app_entropy_log_2_coef | Wavelet Features-app_entropy_log_3_coef | Wavelet Features-app_entropy_log_4_coef | Wavelet Features-app_entropy_log_5_coef | Wavelet Features-app_entropy_log_6_coef | Wavelet Features-app_entropy_log_7_coef | Wavelet Features-app_entropy_log_8_coef | Wavelet Features-app_entropy_log_9_coef | Wavelet Features-app_entropy_log_10_coef | Wavelet Features-app_det_TKEO_mean_1_coef | Wavelet Features-app_det_TKEO_mean_2_coef | Wavelet Features-app_det_TKEO_mean_3_coef | Wavelet Features-app_det_TKEO_mean_4_coef | Wavelet Features-app_det_TKEO_mean_5_coef | Wavelet Features-app_det_TKEO_mean_6_coef | Wavelet Features-app_det_TKEO_mean_7_coef | Wavelet Features-app_det_TKEO_mean_8_coef | Wavelet Features-app_det_TKEO_mean_9_coef | Wavelet Features-app_det_TKEO_mean_10_coef | Wavelet Features-app_TKEO_std_1_coef | Wavelet Features-app_TKEO_std_2_coef | Wavelet Features-app_TKEO_std_3_coef | Wavelet Features-app_TKEO_std_4_coef | Wavelet Features-app_TKEO_std_5_coef | Wavelet Features-app_TKEO_std_6_coef | Wavelet Features-app_TKEO_std_7_coef | Wavelet Features-app_TKEO_std_8_coef | Wavelet Features-app_TKEO_std_9_coef | Wavelet Features-app_TKEO_std_10_coef | Wavelet Features-Ea2 | Wavelet Features-Ed2_1_coef | Wavelet Features-Ed2_2_coef | Wavelet Features-Ed2_3_coef | Wavelet Features-Ed2_4_coef | Wavelet Features-Ed2_5_coef | Wavelet Features-Ed2_6_coef | Wavelet Features-Ed2_7_coef | Wavelet Features-Ed2_8_coef | Wavelet Features-Ed2_9_coef | Wavelet Features-Ed2_10_coef | Wavelet Features-det_LT_entropy_shannon_1_coef | Wavelet Features-det_LT_entropy_shannon_2_coef | Wavelet Features-det_LT_entropy_shannon_3_coef | Wavelet Features-det_LT_entropy_shannon_4_coef | Wavelet Features-det_LT_entropy_shannon_5_coef | Wavelet Features-det_LT_entropy_shannon_6_coef | Wavelet Features-det_LT_entropy_shannon_7_coef | Wavelet Features-det_LT_entropy_shannon_8_coef | ... | TQWT Features-tqwt_medianValue_dec_4 | TQWT Features-tqwt_medianValue_dec_5 | TQWT Features-tqwt_medianValue_dec_6 | TQWT Features-tqwt_medianValue_dec_7 | TQWT Features-tqwt_medianValue_dec_8 | TQWT Features-tqwt_medianValue_dec_9 | TQWT Features-tqwt_medianValue_dec_10 | TQWT Features-tqwt_medianValue_dec_11 | TQWT Features-tqwt_medianValue_dec_12 | TQWT Features-tqwt_medianValue_dec_13 | TQWT Features-tqwt_medianValue_dec_14 | TQWT Features-tqwt_medianValue_dec_15 | TQWT Features-tqwt_medianValue_dec_16 | TQWT Features-tqwt_medianValue_dec_17 | TQWT Features-tqwt_medianValue_dec_18 | TQWT Features-tqwt_medianValue_dec_19 | TQWT Features-tqwt_medianValue_dec_20 | TQWT Features-tqwt_medianValue_dec_21 | TQWT Features-tqwt_medianValue_dec_22 | TQWT Features-tqwt_medianValue_dec_23 | TQWT Features-tqwt_medianValue_dec_24 | TQWT Features-tqwt_medianValue_dec_25 | TQWT Features-tqwt_medianValue_dec_26 | TQWT Features-tqwt_medianValue_dec_27 | TQWT Features-tqwt_medianValue_dec_28 | TQWT Features-tqwt_medianValue_dec_29 | TQWT Features-tqwt_medianValue_dec_30 | TQWT Features-tqwt_medianValue_dec_31 | TQWT Features-tqwt_medianValue_dec_32 | TQWT Features-tqwt_medianValue_dec_33 | TQWT Features-tqwt_medianValue_dec_34 | TQWT Features-tqwt_medianValue_dec_35 | TQWT Features-tqwt_medianValue_dec_36 | TQWT Features-tqwt_meanValue_dec_1 | TQWT Features-tqwt_meanValue_dec_2 | TQWT Features-tqwt_meanValue_dec_3 | TQWT Features-tqwt_meanValue_dec_4 | TQWT Features-tqwt_meanValue_dec_5 | TQWT Features-tqwt_meanValue_dec_6 | TQWT Features-tqwt_meanValue_dec_7 | TQWT Features-tqwt_meanValue_dec_8 | TQWT Features-tqwt_meanValue_dec_9 | TQWT Features-tqwt_meanValue_dec_10 | TQWT Features-tqwt_meanValue_dec_11 | TQWT Features-tqwt_meanValue_dec_12 | TQWT Features-tqwt_meanValue_dec_13 | TQWT Features-tqwt_meanValue_dec_14 | TQWT Features-tqwt_meanValue_dec_15 | TQWT Features-tqwt_meanValue_dec_16 | TQWT Features-tqwt_meanValue_dec_17 | TQWT Features-tqwt_meanValue_dec_18 | TQWT Features-tqwt_meanValue_dec_19 | TQWT Features-tqwt_meanValue_dec_20 | TQWT Features-tqwt_meanValue_dec_21 | TQWT Features-tqwt_meanValue_dec_22 | TQWT Features-tqwt_meanValue_dec_23 | TQWT Features-tqwt_meanValue_dec_24 | TQWT Features-tqwt_meanValue_dec_25 | TQWT Features-tqwt_meanValue_dec_26 | TQWT Features-tqwt_meanValue_dec_27 | TQWT Features-tqwt_meanValue_dec_28 | TQWT Features-tqwt_meanValue_dec_29 | TQWT Features-tqwt_meanValue_dec_30 | TQWT Features-tqwt_meanValue_dec_31 | TQWT Features-tqwt_meanValue_dec_32 | TQWT Features-tqwt_meanValue_dec_33 | TQWT Features-tqwt_meanValue_dec_34 | TQWT Features-tqwt_meanValue_dec_35 | TQWT Features-tqwt_meanValue_dec_36 | TQWT Features-tqwt_stdValue_dec_1 | TQWT Features-tqwt_stdValue_dec_2 | TQWT Features-tqwt_stdValue_dec_3 | TQWT Features-tqwt_stdValue_dec_4 | TQWT Features-tqwt_stdValue_dec_5 | TQWT Features-tqwt_stdValue_dec_6 | TQWT Features-tqwt_stdValue_dec_7 | TQWT Features-tqwt_stdValue_dec_8 | TQWT Features-tqwt_stdValue_dec_9 | TQWT Features-tqwt_stdValue_dec_10 | TQWT Features-tqwt_stdValue_dec_11 | TQWT Features-tqwt_stdValue_dec_12 | TQWT Features-tqwt_stdValue_dec_13 | TQWT Features-tqwt_stdValue_dec_14 | TQWT Features-tqwt_stdValue_dec_15 | TQWT Features-tqwt_stdValue_dec_16 | TQWT Features-tqwt_stdValue_dec_17 | TQWT Features-tqwt_stdValue_dec_18 | TQWT Features-tqwt_stdValue_dec_19 | TQWT Features-tqwt_stdValue_dec_20 | TQWT Features-tqwt_stdValue_dec_21 | TQWT Features-tqwt_stdValue_dec_22 | TQWT Features-tqwt_stdValue_dec_23 | TQWT Features-tqwt_stdValue_dec_24 | TQWT Features-tqwt_stdValue_dec_25 | TQWT Features-tqwt_stdValue_dec_26 | TQWT Features-tqwt_stdValue_dec_27 | TQWT Features-tqwt_stdValue_dec_28 | TQWT Features-tqwt_stdValue_dec_29 | TQWT Features-tqwt_stdValue_dec_30 | TQWT Features-tqwt_stdValue_dec_31 | TQWT Features-tqwt_stdValue_dec_32 | TQWT Features-tqwt_stdValue_dec_33 | TQWT Features-tqwt_stdValue_dec_34 | TQWT Features-tqwt_stdValue_dec_35 | TQWT Features-tqwt_stdValue_dec_36 | TQWT Features-tqwt_minValue_dec_1 | TQWT Features-tqwt_minValue_dec_2 | TQWT Features-tqwt_minValue_dec_3 | TQWT Features-tqwt_minValue_dec_4 | TQWT Features-tqwt_minValue_dec_5 | TQWT Features-tqwt_minValue_dec_6 | TQWT Features-tqwt_minValue_dec_7 | TQWT Features-tqwt_minValue_dec_8 | TQWT Features-tqwt_minValue_dec_9 | TQWT Features-tqwt_minValue_dec_10 | TQWT Features-tqwt_minValue_dec_11 | TQWT Features-tqwt_minValue_dec_12 | TQWT Features-tqwt_minValue_dec_13 | TQWT Features-tqwt_minValue_dec_14 | TQWT Features-tqwt_minValue_dec_15 | TQWT Features-tqwt_minValue_dec_16 | TQWT Features-tqwt_minValue_dec_17 | TQWT Features-tqwt_minValue_dec_18 | TQWT Features-tqwt_minValue_dec_19 | TQWT Features-tqwt_minValue_dec_20 | TQWT Features-tqwt_minValue_dec_21 | TQWT Features-tqwt_minValue_dec_22 | TQWT Features-tqwt_minValue_dec_23 | TQWT Features-tqwt_minValue_dec_24 | TQWT Features-tqwt_minValue_dec_25 | TQWT Features-tqwt_minValue_dec_26 | TQWT Features-tqwt_minValue_dec_27 | TQWT Features-tqwt_minValue_dec_28 | TQWT Features-tqwt_minValue_dec_29 | TQWT Features-tqwt_minValue_dec_30 | TQWT Features-tqwt_minValue_dec_31 | TQWT Features-tqwt_minValue_dec_32 | TQWT Features-tqwt_minValue_dec_33 | TQWT Features-tqwt_minValue_dec_34 | TQWT Features-tqwt_minValue_dec_35 | TQWT Features-tqwt_minValue_dec_36 | TQWT Features-tqwt_maxValue_dec_1 | TQWT Features-tqwt_maxValue_dec_2 | TQWT Features-tqwt_maxValue_dec_3 | TQWT Features-tqwt_maxValue_dec_4 | TQWT Features-tqwt_maxValue_dec_5 | TQWT Features-tqwt_maxValue_dec_6 | TQWT Features-tqwt_maxValue_dec_7 | TQWT Features-tqwt_maxValue_dec_8 | TQWT Features-tqwt_maxValue_dec_9 | TQWT Features-tqwt_maxValue_dec_10 | TQWT Features-tqwt_maxValue_dec_11 | TQWT Features-tqwt_maxValue_dec_12 | TQWT Features-tqwt_maxValue_dec_13 | TQWT Features-tqwt_maxValue_dec_14 | TQWT Features-tqwt_maxValue_dec_15 | TQWT Features-tqwt_maxValue_dec_16 | TQWT Features-tqwt_maxValue_dec_17 | TQWT Features-tqwt_maxValue_dec_18 | TQWT Features-tqwt_maxValue_dec_19 | TQWT Features-tqwt_maxValue_dec_20 | TQWT Features-tqwt_maxValue_dec_21 | TQWT Features-tqwt_maxValue_dec_22 | TQWT Features-tqwt_maxValue_dec_23 | TQWT Features-tqwt_maxValue_dec_24 | TQWT Features-tqwt_maxValue_dec_25 | TQWT Features-tqwt_maxValue_dec_26 | TQWT Features-tqwt_maxValue_dec_27 | TQWT Features-tqwt_maxValue_dec_28 | TQWT Features-tqwt_maxValue_dec_29 | TQWT Features-tqwt_maxValue_dec_30 | TQWT Features-tqwt_maxValue_dec_31 | TQWT Features-tqwt_maxValue_dec_32 | TQWT Features-tqwt_maxValue_dec_33 | TQWT Features-tqwt_maxValue_dec_34 | TQWT Features-tqwt_maxValue_dec_35 | TQWT Features-tqwt_maxValue_dec_36 | TQWT Features-tqwt_skewnessValue_dec_1 | TQWT Features-tqwt_skewnessValue_dec_2 | TQWT Features-tqwt_skewnessValue_dec_3 | TQWT Features-tqwt_skewnessValue_dec_4 | TQWT Features-tqwt_skewnessValue_dec_5 | TQWT Features-tqwt_skewnessValue_dec_6 | TQWT Features-tqwt_skewnessValue_dec_7 | TQWT Features-tqwt_skewnessValue_dec_8 | TQWT Features-tqwt_skewnessValue_dec_9 | TQWT Features-tqwt_skewnessValue_dec_10 | TQWT Features-tqwt_skewnessValue_dec_11 | TQWT Features-tqwt_skewnessValue_dec_12 | TQWT Features-tqwt_skewnessValue_dec_13 | TQWT Features-tqwt_skewnessValue_dec_14 | TQWT Features-tqwt_skewnessValue_dec_15 | TQWT Features-tqwt_skewnessValue_dec_16 | TQWT Features-tqwt_skewnessValue_dec_17 | TQWT Features-tqwt_skewnessValue_dec_18 | TQWT Features-tqwt_skewnessValue_dec_19 | TQWT Features-tqwt_skewnessValue_dec_20 | TQWT Features-tqwt_skewnessValue_dec_21 | TQWT Features-tqwt_skewnessValue_dec_22 | TQWT Features-tqwt_skewnessValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_24 | TQWT Features-tqwt_skewnessValue_dec_25 | TQWT Features-tqwt_skewnessValue_dec_26 | TQWT Features-tqwt_skewnessValue_dec_27 | TQWT Features-tqwt_skewnessValue_dec_28 | TQWT Features-tqwt_skewnessValue_dec_29 | TQWT Features-tqwt_skewnessValue_dec_30 | TQWT Features-tqwt_skewnessValue_dec_31 | TQWT Features-tqwt_skewnessValue_dec_32 | TQWT Features-tqwt_skewnessValue_dec_33 | TQWT Features-tqwt_skewnessValue_dec_34 | TQWT Features-tqwt_skewnessValue_dec_35 | TQWT Features-tqwt_skewnessValue_dec_36 | TQWT Features-tqwt_kurtosisValue_dec_1 | TQWT Features-tqwt_kurtosisValue_dec_2 | TQWT Features-tqwt_kurtosisValue_dec_3 | TQWT Features-tqwt_kurtosisValue_dec_4 | TQWT Features-tqwt_kurtosisValue_dec_5 | TQWT Features-tqwt_kurtosisValue_dec_6 | TQWT Features-tqwt_kurtosisValue_dec_7 | TQWT Features-tqwt_kurtosisValue_dec_8 | TQWT Features-tqwt_kurtosisValue_dec_9 | TQWT Features-tqwt_kurtosisValue_dec_10 | TQWT Features-tqwt_kurtosisValue_dec_11 | TQWT Features-tqwt_kurtosisValue_dec_12 | TQWT Features-tqwt_kurtosisValue_dec_13 | TQWT Features-tqwt_kurtosisValue_dec_14 | TQWT Features-tqwt_kurtosisValue_dec_15 | TQWT Features-tqwt_kurtosisValue_dec_16 | TQWT Features-tqwt_kurtosisValue_dec_17 | TQWT Features-tqwt_kurtosisValue_dec_18 | TQWT Features-tqwt_kurtosisValue_dec_19 | TQWT Features-tqwt_kurtosisValue_dec_20 | TQWT Features-tqwt_kurtosisValue_dec_21 | TQWT Features-tqwt_kurtosisValue_dec_22 | TQWT Features-tqwt_kurtosisValue_dec_23 | TQWT Features-tqwt_kurtosisValue_dec_24 | TQWT Features-tqwt_kurtosisValue_dec_25 | TQWT Features-tqwt_kurtosisValue_dec_26 | TQWT Features-tqwt_kurtosisValue_dec_27 | TQWT Features-tqwt_kurtosisValue_dec_28 | TQWT Features-tqwt_kurtosisValue_dec_29 | TQWT Features-tqwt_kurtosisValue_dec_30 | TQWT Features-tqwt_kurtosisValue_dec_31 | TQWT Features-tqwt_kurtosisValue_dec_32 | TQWT Features-tqwt_kurtosisValue_dec_33 | TQWT Features-tqwt_kurtosisValue_dec_34 | TQWT Features-tqwt_kurtosisValue_dec_35 | TQWT Features-tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 1 | 0.627229 | 0.255975 | 0.605434 | -0.846332 | -0.841816 | 0.932711 | -0.406982 | -0.054957 | 0.037818 | 0.066285 | 0.078149 | 0.062852 | -0.201150 | -0.233734 | -0.190700 | -0.228779 | -0.208796 | -0.190551 | 0.145047 | -0.142556 | 0.024275 | -0.093823 | -0.007341 | -0.218224 | -0.799003 | -1.194645 | -0.293055 | 0.309878 | -0.365732 | -0.475482 | -0.373314 | -0.167031 | -0.856698 | -0.660592 | -0.222498 | 0.229475 | 0.377838 | -1.027317 | -1.101694 | -1.591724 | -0.132519 | -0.506121 | -0.565429 | -0.509688 | 0.832624 | 0.757692 | 0.710764 | 0.748263 | -0.064940 | 1.581718 | 0.977513 | 0.917362 | -0.631131 | 0.606174 | -1.200023 | -1.557968 | 1.348982 | 0.734690 | -0.105779 | 1.561630 | -0.792140 | -0.391801 | 0.355723 | 0.252535 | -0.007689 | 1.663393 | 0.524088 | -0.904338 | 0.060249 | 0.282288 | -0.540262 | -0.241710 | 0.230229 | -0.311436 | -0.927779 | 0.195401 | 1.772607 | 0.056876 | -1.866714 | 0.876369 | 0.990140 | -0.581490 | -0.345813 | -0.594517 | -0.631241 | 2.506997 | 0.326596 | -0.702625 | 0.956759 | -0.159629 | -0.801532 | 1.159733 | 0.063720 | -1.014220 | -0.260902 | 0.109283 | 0.192822 | 0.214008 | 0.274712 | 1.791888 | -0.718720 | -0.173434 | -1.242350 | -0.962688 | 0.271843 | -1.383361 | 0.061904 | -0.752829 | -1.275658 | -1.026483 | 0.418488 | 1.051357 | 0.451989 | 3.822410 | -0.646837 | 0.571352 | -0.911946 | -1.076537 | 0.051899 | -0.925871 | 0.895685 | -0.089947 | -1.401511 | -1.058013 | 0.272781 | 1.462747 | 0.454392 | 3.595828 | -0.397586 | 0.627987 | -0.818899 | -0.960961 | -0.004350 | -1.069761 | 0.768159 | -0.094275 | -1.461672 | -0.866221 | 0.221048 | -0.101477 | -0.111646 | -0.122081 | -0.180792 | -0.153543 | -0.218674 | -0.187601 | -0.186380 | -0.164050 | -0.202803 | 0.113122 | 0.123253 | 0.124495 | 0.191891 | 0.187921 | 0.200303 | 0.135826 | 0.134272 | 0.211869 | 0.163684 | -0.818798 | -1.097642 | -0.841080 | -0.876340 | -0.215095 | -1.602891 | -1.089338 | -1.817249 | -1.198345 | -1.340110 | -0.123793 | -0.142970 | -0.124892 | -0.205827 | -0.195916 | -0.217549 | -0.165168 | -0.141942 | -0.229886 | -0.172516 | -0.153738 | -0.165247 | -0.193027 | -0.230117 | -0.196595 | -0.218525 | -0.148627 | -0.141268 | -0.234030 | -0.166230 | 0.853208 | 0.859484 | 0.867086 | 0.875224 | 0.882310 | 0.887443 | 0.889529 | 0.891631 | 0.892393 | 0.892776 | -0.769550 | -0.804308 | -0.865232 | -0.958730 | -1.047259 | -1.097888 | -1.106973 | -1.134423 | -1.134717 | -1.136009 | -0.629316 | -0.816136 | -0.903510 | -0.922607 | -0.916226 | -0.916130 | -0.917719 | -0.915966 | -0.916443 | -0.914142 | -0.707936 | -0.842481 | -0.878204 | -0.938214 | -0.926684 | -0.918688 | -0.909741 | -0.918690 | -0.920182 | -0.917747 | 0.236765 | -0.153871 | -0.174977 | -0.188824 | -0.237583 | -0.216271 | -0.237639 | -0.199473 | -0.197125 | -0.210783 | -0.181885 | -0.241484 | -0.312365 | -0.236341 | -0.023023 | 0.044612 | 0.095636 | 0.065635 | 0.133436 | ... | 0.068192 | 0.007831 | 0.021280 | -0.037286 | 0.029037 | 0.120138 | -0.011723 | -0.316886 | 0.034952 | -0.020298 | 0.512869 | 0.033772 | -0.028906 | -0.103196 | 0.041128 | -0.055508 | -0.062056 | 0.020162 | 0.076512 | -0.026757 | 0.040145 | -0.084353 | 0.012297 | -1.283663 | 4.370905 | 0.102082 | -0.020750 | 0.043585 | -0.033521 | -0.087215 | -0.110823 | -0.051890 | -1.132034 | -0.381527 | -0.654917 | 0.037359 | -0.123260 | -0.080966 | -0.229496 | 0.046224 | 0.033426 | 0.333811 | -0.348996 | -0.207832 | -0.035035 | 0.019009 | 0.300676 | -0.041950 | -0.049849 | 0.224582 | -0.000542 | -0.627536 | 0.008421 | -0.050961 | -0.986481 | -1.080050 | -0.235925 | 0.137222 | -0.352678 | 0.729509 | -0.790968 | -0.009328 | 0.028155 | 0.023845 | 0.083204 | 0.022212 | 0.235722 | 0.050936 | -1.226190 | -0.809967 | -0.826097 | -0.823705 | -0.801260 | -0.723674 | -0.685107 | -0.644757 | -0.618546 | -0.762875 | -0.721380 | -0.588992 | -0.699881 | -0.761049 | -0.727062 | -0.626283 | -0.690936 | -0.598620 | -0.255861 | -0.104895 | -0.317055 | -0.592964 | -0.003254 | 0.486976 | -0.286197 | -0.761596 | -0.111636 | 0.573468 | 0.528181 | -0.181503 | -0.377795 | -0.538576 | -0.452836 | -0.385289 | -0.480666 | -0.520059 | -0.595669 | 0.855183 | 0.905887 | 0.868050 | 0.877196 | 0.777038 | 0.740712 | 0.801678 | 0.716068 | 0.821296 | 0.868686 | 0.807232 | 0.927182 | 0.921622 | 0.899558 | 0.738805 | 0.588828 | 0.368308 | 0.073654 | -0.160414 | 0.374660 | 0.495986 | -0.195351 | -0.589262 | 0.265029 | 0.742393 | 0.233454 | -0.396572 | -0.192125 | 0.370157 | 0.618143 | 0.673181 | 0.563999 | 0.546408 | 0.588129 | 0.575617 | 0.523899 | -0.760943 | -0.861957 | -0.881592 | -0.829876 | -0.780082 | -0.749516 | -0.810907 | -0.719174 | -0.799154 | -0.858859 | -0.872019 | -0.925838 | -0.926328 | -0.909344 | -0.694744 | -0.582111 | -0.367918 | -0.076228 | 0.152250 | -0.376938 | -0.498806 | 0.192725 | 0.592124 | -0.268187 | -0.742893 | -0.232213 | 0.382628 | 0.284489 | -0.376633 | -0.612972 | -0.664861 | -0.599670 | -0.515817 | -0.587041 | -0.570327 | -0.595309 | 0.059629 | 0.088388 | -0.049191 | 0.146497 | -0.018581 | -0.017421 | -0.012581 | -0.020104 | -0.015267 | 0.022072 | 0.012057 | -0.002266 | -0.018268 | -0.119010 | 0.259204 | -0.015908 | 0.025408 | -0.006004 | 0.025652 | 0.010648 | 0.054049 | -0.012561 | -0.010385 | 0.036010 | 0.042828 | -0.021522 | -0.003832 | -0.028685 | 0.047180 | -0.001064 | -0.005777 | -0.191772 | -0.093817 | 0.079308 | 0.017889 | -0.612561 | -0.281799 | -0.224691 | -0.226040 | -0.208619 | -0.234039 | -0.199715 | -0.135281 | -0.106782 | -0.067060 | -0.089761 | -0.185677 | -0.049720 | -0.211403 | -0.308884 | -0.161956 | 0.839361 | 0.338322 | 0.199230 | 0.184854 | -0.310358 | 0.743454 | 0.020327 | -0.113192 | -0.127753 | -0.150644 | -0.312972 | -0.445582 | -0.584435 | -0.619002 | -0.576380 | -0.481967 | -0.399066 | -0.484212 | -0.774624 | -0.814188 | -0.366353 | 1 |
| 1 | 0 | 1 | 0.121539 | -0.080380 | 0.368171 | -0.906804 | -0.902176 | 1.039326 | -0.425810 | -0.142476 | -0.027680 | -0.086665 | -0.023240 | -0.083304 | -0.286561 | -0.272943 | -0.499656 | -0.162885 | 0.193984 | -0.499508 | 0.355937 | -0.317054 | 0.472946 | -0.385257 | -0.479178 | -0.351676 | -0.613605 | -1.286204 | -0.454749 | -0.139645 | -0.504592 | -0.468062 | -0.382405 | -0.438043 | -0.621828 | -0.593031 | -0.213870 | -0.200698 | 0.037737 | -0.290060 | -0.807617 | -0.553550 | 0.808315 | -0.448066 | -0.549581 | -0.476190 | 1.093557 | 0.482782 | 1.036097 | 0.599308 | -0.284860 | 2.023104 | 0.853614 | 0.915624 | -0.593164 | 0.700709 | -0.415208 | -1.242649 | 1.363008 | 0.981596 | -0.408143 | 1.486414 | -0.514336 | -0.583557 | 0.086087 | 0.385242 | 0.167903 | 1.662677 | 0.632015 | -0.459693 | -0.091195 | 0.089305 | -0.398781 | 0.381999 | -0.391392 | -0.275763 | 0.478627 | -0.251996 | -0.240418 | 1.025082 | -0.268806 | -1.170300 | 0.567366 | 1.001390 | 1.196445 | 0.069586 | 1.724931 | -1.318202 | -2.587908 | 0.274939 | -0.620102 | -1.437247 | -0.270006 | -0.238154 | 0.694659 | 0.778121 | 2.119947 | -0.342617 | -0.188121 | 0.036981 | -0.129104 | 1.092727 | -0.680084 | 0.068144 | -1.439705 | -0.405495 | -0.890470 | -1.421297 | -0.810347 | -0.658962 | -0.721391 | -0.234062 | 0.008655 | 1.021677 | -0.001864 | 4.059853 | -0.426860 | 1.412026 | -1.201665 | 0.373779 | -0.329581 | -1.447688 | 0.167996 | -0.560954 | -0.223247 | -0.060315 | 0.037902 | 1.841251 | 0.076155 | 4.599698 | -0.161347 | 1.633296 | -1.217544 | 0.641729 | -0.054574 | -1.495843 | 0.493585 | -0.418184 | -0.225214 | 0.066463 | 0.221676 | -0.101477 | -0.111632 | -0.121838 | -0.180340 | -0.155887 | -0.217392 | -0.189670 | -0.185722 | -0.164099 | -0.204047 | 0.113122 | 0.123254 | 0.124474 | 0.191833 | 0.188782 | 0.200116 | 0.136101 | 0.134179 | 0.211883 | 0.163953 | -0.731801 | -1.074443 | -0.527108 | -0.695850 | -0.642826 | -0.850270 | -1.665603 | -1.309813 | -1.268723 | -1.436582 | -0.123791 | -0.142949 | -0.124624 | -0.205052 | -0.196499 | -0.216825 | -0.166002 | -0.141537 | -0.230076 | -0.173285 | -0.153735 | -0.165232 | -0.192792 | -0.230076 | -0.198729 | -0.217929 | -0.149583 | -0.140962 | -0.234250 | -0.166986 | 0.886703 | 0.893095 | 0.900514 | 0.908714 | 0.915518 | 0.920284 | 0.922144 | 0.924263 | 0.925115 | 0.925578 | -0.837658 | -0.874129 | -0.937969 | -1.036826 | -1.129481 | -1.181252 | -1.189888 | -1.217822 | -1.218116 | -1.219459 | -0.648039 | -0.841272 | -0.932697 | -0.952706 | -0.946158 | -0.946188 | -0.948693 | -0.948289 | -0.948824 | -0.947242 | -0.729804 | -0.870860 | -0.904323 | -0.973766 | -0.956913 | -0.947346 | -0.942620 | -0.949191 | -0.954588 | -0.951013 | 0.236765 | -0.153870 | -0.174943 | -0.188411 | -0.236987 | -0.219272 | -0.236489 | -0.201144 | -0.196573 | -0.210830 | -0.182815 | -0.241459 | -0.311859 | -0.231163 | -0.018102 | 0.033880 | 0.099294 | 0.062461 | 0.134067 | ... | 0.085234 | 0.007831 | -0.039699 | 0.059482 | 0.029037 | 0.240998 | 0.261182 | 0.168137 | 0.034952 | -0.020298 | -0.146577 | -0.123658 | -0.028906 | -0.103196 | 0.041128 | 0.028966 | -0.062056 | 0.020162 | 0.076512 | -0.026757 | 0.040145 | -0.084353 | 0.012297 | -0.954630 | 0.393476 | 0.054640 | -0.020750 | -0.016372 | -0.084311 | -0.045167 | -0.087512 | -0.025019 | -1.089307 | -0.208399 | 0.989709 | -0.155637 | 2.106111 | -0.038151 | 0.193967 | -0.384562 | 0.698244 | 0.557610 | 0.949923 | -0.213822 | -0.291469 | -0.195914 | 0.010863 | 0.165627 | -0.169880 | -0.288608 | 1.147337 | 2.025846 | 0.003571 | 0.291398 | -0.114129 | 0.799923 | 0.020515 | 0.221003 | 0.194832 | -1.797754 | 0.887611 | 0.082064 | -0.060511 | 0.223250 | -0.042651 | -0.005012 | 0.133500 | -0.041045 | -1.095325 | -0.711334 | -0.773860 | -0.787267 | -0.767004 | -0.712605 | -0.735811 | -0.767865 | -0.720190 | -0.799104 | -0.742921 | -0.587406 | -0.699193 | -0.801368 | -0.804959 | -0.704765 | -0.746718 | -0.618312 | -0.191978 | -0.082059 | -0.583499 | -0.771169 | -0.460561 | -0.011263 | -0.430213 | -0.833963 | -0.282403 | 0.409905 | 0.533614 | -0.125251 | -0.349043 | -0.512236 | -0.433431 | -0.376117 | -0.471711 | -0.503710 | -0.575995 | -0.781167 | -0.303058 | -0.075334 | -0.020632 | 0.055626 | -0.011247 | -0.082926 | 0.065835 | 0.161185 | 0.134346 | 0.148096 | 0.136984 | 0.519586 | 0.932207 | 0.822525 | 0.705863 | 0.708863 | 0.359380 | 0.181538 | 0.654771 | 0.777639 | 0.520091 | 0.277683 | 0.620243 | 0.913825 | 0.438056 | -0.188205 | -0.249705 | 0.120377 | 0.426370 | 0.564304 | 0.527912 | 0.517435 | 0.575780 | 0.569722 | 0.552761 | 0.197041 | -0.022882 | 0.074189 | -0.119054 | -0.060572 | -0.035326 | 0.014687 | -0.065461 | -0.296032 | -0.198313 | 0.035103 | -0.137195 | -0.520016 | -0.836024 | -0.783459 | -0.699219 | -0.708358 | -0.361154 | -0.188352 | -0.656089 | -0.778633 | -0.523660 | -0.281456 | -0.624536 | -0.914572 | -0.437121 | 0.147381 | 0.174166 | -0.259649 | -0.421922 | -0.545000 | -0.527544 | -0.475310 | -0.540465 | -0.519040 | -0.500139 | -2.682367 | -2.775676 | -0.049191 | -2.994798 | -0.018581 | -0.374213 | -0.330287 | -0.020104 | -0.281335 | -0.121765 | 0.975944 | -0.002266 | -0.018268 | 0.195495 | 0.015889 | -0.015908 | 0.025408 | -0.006004 | 0.012954 | 0.010648 | 0.054049 | -0.012561 | -0.010385 | 0.036010 | 0.042828 | -0.021522 | -0.003842 | 0.024329 | -0.092794 | -0.001064 | 0.444095 | 0.455654 | 0.583132 | 0.538534 | 0.548402 | 1.176685 | 2.153237 | 2.366436 | 1.977670 | 3.145370 | 3.054658 | 1.162549 | 0.317783 | 0.068130 | 0.019803 | 0.010637 | 0.046644 | 1.413191 | 0.529782 | -0.101254 | 0.065180 | 0.958248 | -0.211939 | -0.447267 | -0.348288 | -0.253104 | 0.921001 | -0.252008 | -0.323911 | -0.170083 | -0.149357 | -0.313604 | -0.445435 | -0.584508 | -0.589388 | 0.192956 | 0.016172 | -0.067076 | -0.175449 | -0.526299 | -0.582586 | 0.400131 | 1 |
| 2 | 0 | 1 | 0.617541 | -0.349607 | 0.733124 | -0.926961 | -0.922296 | 1.083858 | -0.443263 | -0.214774 | -0.088812 | -0.035681 | -0.029204 | -0.035719 | 0.734174 | 0.759549 | 0.740638 | 0.875955 | 0.658639 | 0.740643 | 0.208094 | -0.237316 | -0.216738 | -0.921953 | -0.698341 | -0.842180 | -0.731561 | -1.191349 | -0.520189 | 0.376208 | -0.172572 | -0.538714 | -0.510546 | -0.641573 | -0.583404 | -0.172396 | -0.240302 | -0.692703 | -0.433636 | -0.465205 | -0.884386 | -0.258233 | 0.197193 | -0.545244 | -0.562711 | -0.541623 | 1.058605 | 0.506729 | 0.422339 | 0.484100 | 0.001538 | 4.003505 | 2.640723 | 0.314210 | -0.736153 | -0.217456 | -1.440611 | -1.572483 | 0.828788 | 1.175062 | -0.417364 | 1.351904 | -0.887705 | -0.366273 | 0.732639 | 0.126565 | 0.082772 | 1.995160 | 1.016646 | -0.860722 | 0.440891 | -0.312694 | 0.613065 | 1.287040 | -0.358413 | 0.000542 | -0.257692 | -0.055321 | -0.941993 | 0.022045 | 1.176453 | 0.032044 | -0.012004 | -0.273929 | 0.894026 | 0.126350 | 0.407768 | 1.334294 | -0.299125 | -1.397684 | 0.007416 | -1.330928 | -0.945898 | -0.140563 | 0.752679 | -0.070492 | -0.540697 | -0.975658 | 0.821222 | 0.037326 | -0.129202 | 1.507313 | -0.643828 | 0.479717 | -0.249939 | -0.254636 | -0.091620 | -0.807127 | -0.232412 | -0.606682 | -0.633985 | -0.509334 | 2.424579 | 0.671980 | 0.593862 | 4.066032 | -0.412013 | 2.152605 | 0.885577 | 0.668322 | 0.733441 | -0.556502 | 0.911569 | -0.436214 | 0.174071 | 0.568948 | 2.796591 | 1.007770 | 0.300922 | 3.793437 | -0.096720 | 1.689876 | 0.483509 | 0.509918 | 0.836212 | -0.343236 | 1.057565 | -0.069886 | -0.319453 | 0.096557 | 0.221990 | -0.101479 | -0.111643 | -0.121936 | -0.180228 | -0.156808 | -0.217485 | -0.189888 | -0.186738 | -0.164483 | -0.204026 | 0.113121 | 0.123253 | 0.124492 | 0.191802 | 0.189030 | 0.200129 | 0.136114 | 0.134304 | 0.211953 | 0.163950 | -0.853407 | -1.030480 | -0.445807 | -0.876528 | -1.009870 | -1.090384 | -1.532015 | -1.892754 | -1.968391 | -1.878681 | -0.123794 | -0.142974 | -0.124746 | -0.205211 | -0.197734 | -0.217053 | -0.166122 | -0.142043 | -0.230422 | -0.173260 | -0.153739 | -0.165247 | -0.193024 | -0.229908 | -0.199612 | -0.217935 | -0.149712 | -0.141388 | -0.234666 | -0.166967 | 0.899983 | 0.907161 | 0.915753 | 0.925290 | 0.933371 | 0.939374 | 0.941568 | 0.944101 | 0.945009 | 0.945523 | -0.865712 | -0.904490 | -0.972428 | -1.077011 | -1.175453 | -1.231690 | -1.241276 | -1.270582 | -1.270897 | -1.272264 | -0.654849 | -0.854536 | -0.948428 | -0.970571 | -0.964316 | -0.965181 | -0.967507 | -0.966300 | -0.966944 | -0.965677 | -0.737458 | -0.880410 | -0.921942 | -0.990067 | -0.973874 | -0.967945 | -0.958477 | -0.966714 | -0.973151 | -0.969471 | 0.236765 | -0.153875 | -0.174971 | -0.188578 | -0.236857 | -0.220523 | -0.236590 | -0.201328 | -0.197410 | -0.211270 | -0.182799 | -0.241543 | -0.312281 | -0.233057 | -0.017496 | 0.028674 | 0.098858 | 0.062014 | 0.132971 | ... | -0.011112 | 0.007831 | 0.021971 | -0.254895 | 0.029037 | 0.090685 | -0.048135 | 0.131830 | 0.034952 | -0.020298 | 0.032118 | 0.111296 | -0.028906 | -0.103196 | 0.041128 | -0.294906 | -0.062056 | 0.020162 | 0.076512 | -0.026757 | 0.040145 | -0.084353 | 0.012297 | 0.390444 | -0.329577 | 0.058288 | -0.020750 | 0.063891 | 0.002799 | -0.012220 | -0.075865 | 0.046892 | -1.121043 | 0.211126 | -0.085315 | -0.033454 | -0.186635 | -0.010182 | 0.195393 | -0.276200 | -0.013747 | -0.039654 | 0.232059 | -0.004084 | 0.003061 | -0.038929 | -0.265562 | 0.203883 | -0.191550 | -0.183572 | 0.912083 | -1.336359 | -0.166603 | 0.169094 | 0.119340 | 0.549069 | 0.219733 | 0.062595 | -0.114331 | -0.908455 | 1.201241 | 0.186695 | 0.034228 | -0.090217 | 0.000010 | 0.059704 | 0.144591 | 0.057081 | -1.161734 | -0.798922 | -0.833682 | -0.847747 | -0.818624 | -0.753074 | -0.763066 | -0.802289 | -0.804703 | -0.957823 | -0.912000 | -0.735650 | -0.756903 | -0.858301 | -0.913760 | -0.866334 | -0.903924 | -0.896186 | -0.623203 | -0.445453 | -0.655683 | -1.011375 | -0.995350 | -0.714466 | -0.800113 | -0.918101 | -0.480394 | 0.106915 | 0.272354 | -0.151179 | -0.357671 | -0.524934 | -0.443510 | -0.378757 | -0.471775 | -0.510333 | -0.599686 | 0.782666 | 0.837946 | 0.879286 | 0.866524 | 0.808415 | 0.754133 | 0.953646 | 1.002475 | 1.057535 | 1.022240 | 0.911052 | 0.906696 | 0.979038 | 1.022532 | 0.891983 | 0.894917 | 0.872066 | 0.450950 | 0.312136 | 0.713086 | 0.997655 | 1.069512 | 0.856415 | 0.783166 | 0.736503 | 0.586334 | 0.126745 | 0.019929 | 0.347519 | 0.511756 | 0.609110 | 0.531119 | 0.524642 | 0.580642 | 0.569497 | 0.564699 | -0.966890 | -0.959279 | -0.892977 | -0.917126 | -0.811376 | -0.830629 | -1.019201 | -1.007114 | -1.095104 | -1.104087 | -1.012128 | -0.905392 | -0.984354 | -1.020189 | -0.826352 | -0.888390 | -0.871506 | -0.452467 | -0.320888 | -0.714205 | -0.997221 | -1.073804 | -0.864618 | -0.787979 | -0.736994 | -0.585620 | -0.104866 | -0.010014 | -0.316897 | -0.506986 | -0.570193 | -0.534181 | -0.504021 | -0.568983 | -0.556609 | -0.579027 | -0.057702 | -0.114795 | -0.049191 | -0.562819 | -0.018581 | -0.184233 | -0.129384 | -0.020104 | -0.144822 | -0.165267 | -0.022455 | -0.002266 | -0.018268 | 0.206803 | -0.162939 | -0.015908 | 0.025408 | -0.006004 | 0.139120 | 0.010648 | 0.054049 | -0.012561 | -0.010385 | 0.036010 | 0.042828 | -0.021522 | -0.003655 | 0.025341 | 0.040958 | -0.001064 | 0.301029 | 0.181769 | -0.004855 | 0.217426 | 0.006953 | 0.079975 | -0.292368 | -0.227659 | -0.216631 | -0.182592 | -0.200218 | -0.197912 | -0.139928 | -0.117693 | -0.085494 | -0.105237 | -0.198977 | -0.070051 | -0.062332 | 0.062433 | 0.219579 | 0.848709 | 0.593156 | 0.713433 | 0.704237 | -0.436181 | 0.971317 | -0.078864 | -0.300517 | -0.154228 | -0.111110 | -0.313275 | -0.445735 | -0.584381 | -0.628617 | -0.356025 | -0.155952 | -0.067548 | -0.463156 | -0.755562 | -0.803858 | -0.780419 | 1 |
| 3 | 1 | 0 | -1.979250 | 1.381365 | 0.753132 | -1.471212 | -1.465542 | 2.462585 | -0.275134 | 0.709883 | 1.256087 | 0.902413 | 0.907150 | 0.899006 | -0.301688 | -0.207595 | -0.466122 | -0.464009 | -0.316636 | -0.466123 | 0.106635 | -0.087287 | 0.180287 | 0.618448 | 0.754737 | 0.740037 | 1.277102 | -0.189474 | 1.504162 | 1.652669 | 0.082429 | -0.233689 | 0.048959 | 0.029685 | 0.548328 | 3.444958 | -0.377235 | -0.736775 | -0.317528 | 0.042250 | 1.094189 | 0.493759 | 0.163592 | -0.607685 | -0.595602 | -0.570779 | -0.184703 | -0.307171 | 0.087438 | 0.377039 | 0.188964 | 1.276773 | 2.108253 | 0.392449 | -0.790725 | -0.152822 | 0.023381 | -0.531938 | 0.272881 | 1.103908 | 0.345236 | -0.104788 | -0.194769 | 0.627936 | 0.928165 | 1.281433 | -0.306433 | -0.282386 | -0.728989 | 0.299058 | 0.113324 | -0.270944 | 0.415773 | -0.072779 | 0.212379 | -0.200273 | 0.322000 | -0.138677 | -0.515913 | -0.120513 | 0.038077 | -1.174580 | -0.396261 | 0.381151 | -0.189092 | 0.611364 | -1.438052 | 0.157516 | 0.412192 | 1.264427 | -1.989069 | 0.376021 | 0.610224 | -0.680929 | 1.328221 | 0.320728 | -0.434380 | -0.246857 | -0.249950 | 0.285167 | 0.439943 | 0.731011 | -0.172247 | -0.733436 | -0.281519 | -1.124280 | -0.799258 | -0.491639 | -1.023351 | -0.869272 | -0.714978 | 0.087690 | 0.059955 | 1.233750 | 0.708327 | 0.577785 | -0.361889 | -0.230661 | 0.009926 | -0.606567 | -0.471588 | -0.534486 | -1.158337 | -0.393498 | -0.561309 | 0.434673 | 0.182726 | 1.249921 | 0.269907 | 0.240184 | -0.598763 | -0.608603 | -0.414703 | -0.572466 | -0.585447 | -0.542230 | -1.130052 | -0.391509 | -0.615340 | -0.030351 | -2.658078 | 0.216707 | 0.741460 | 1.123823 | 1.675026 | 2.454279 | 4.748122 | 7.638740 | 3.103385 | 2.989521 | 1.332291 | -0.038036 | -0.324207 | -0.391123 | -0.628589 | -1.287253 | -1.682778 | -2.047288 | -0.733950 | -1.996814 | -0.374446 | 1.110116 | 2.191949 | 2.040180 | 2.417137 | 2.800099 | 3.081392 | 2.800113 | 2.544329 | 2.258371 | 2.007991 | 0.110593 | 0.290249 | 0.417796 | 0.837625 | 0.901671 | 2.036923 | 2.058662 | 1.068774 | 1.969279 | 0.501170 | 0.097735 | 0.567689 | 0.800781 | 0.896020 | 1.376685 | 1.768017 | 1.816132 | 0.691117 | 2.129817 | 0.471557 | 0.661862 | 0.720883 | 0.807408 | 0.901482 | 0.985360 | 1.048491 | 1.080264 | 1.101397 | 1.103595 | 1.105914 | -0.792781 | -0.883051 | -1.047359 | -1.260639 | -1.481456 | -1.650198 | -1.715729 | -1.773528 | -1.771595 | -1.768950 | 0.318656 | -0.045002 | -0.488556 | -0.779825 | -0.984985 | -1.035323 | -1.109122 | -1.133250 | -1.148247 | -1.133767 | 0.128588 | 0.065888 | -0.098116 | -0.455449 | -0.685526 | -0.948294 | -0.875118 | -1.130091 | -1.036862 | -1.132892 | -1.552100 | 0.411602 | 1.133109 | 1.224106 | 1.365144 | 2.120334 | 2.635466 | 4.115746 | 1.560146 | 2.118255 | 0.606229 | 1.844131 | 2.920258 | 3.224934 | 1.888073 | 0.179642 | -0.518941 | -1.173622 | -0.467497 | ... | 0.521198 | -0.362837 | -0.361434 | -0.428017 | -0.016900 | 0.594775 | -0.215557 | -0.431392 | 0.056851 | -0.393708 | 0.591502 | -0.247703 | -0.035045 | 0.336425 | -0.680238 | 0.102027 | 1.083267 | 2.118068 | -0.086801 | -0.216791 | -1.137956 | 0.467421 | 0.332868 | -0.023640 | 0.107501 | 0.074695 | -0.373105 | 0.917431 | 0.418012 | 0.880194 | -0.170039 | 0.403178 | 0.215615 | -0.627307 | 2.112868 | -1.576139 | -0.637837 | -0.801931 | -1.030796 | -0.266584 | 0.865846 | 0.812181 | 0.030688 | 0.661883 | -0.246866 | 1.082992 | -2.826245 | -0.133199 | 0.079855 | -0.262229 | -0.166842 | -0.041659 | 0.357904 | 0.722679 | -0.171707 | 1.645625 | -0.045714 | 2.859817 | -1.208295 | 0.214129 | -0.689370 | 0.499617 | -4.183251 | 1.050406 | 0.597670 | -0.127619 | 0.133500 | -1.048804 | 0.839092 | -0.004769 | -0.131247 | -0.278192 | -0.338904 | -0.318840 | -0.453734 | -0.492948 | -0.489943 | -0.586576 | -0.674368 | -0.636049 | -0.296956 | -0.056594 | 0.223772 | 0.419921 | 0.284513 | -0.189349 | -0.462645 | -0.441772 | 0.038418 | 0.718741 | 0.575777 | 1.405556 | 2.655759 | 2.888736 | 0.947160 | -0.243347 | 0.450405 | 1.244301 | 1.234401 | 0.320181 | 0.141973 | 0.132540 | 0.286061 | 0.290088 | 0.431546 | -1.145545 | -0.794477 | -0.735071 | -0.498715 | -0.419165 | -0.548087 | -0.828000 | -0.637774 | -0.534305 | -0.619121 | -0.629893 | -0.180473 | -0.476008 | -1.314055 | -1.774394 | -1.375940 | -0.625472 | -0.015711 | 0.042663 | 0.054593 | -0.651672 | -1.130601 | -1.671649 | -3.243101 | -3.103450 | -1.174350 | -0.418450 | -0.960004 | -1.646877 | -1.901167 | -1.438611 | -0.294899 | -0.285316 | -0.121313 | -0.631689 | -0.220356 | 2.182263 | 1.448278 | 0.930169 | 0.758867 | 0.568460 | 0.699614 | 0.940580 | 0.628108 | 0.614170 | 0.753197 | 0.507772 | 0.106220 | 0.515699 | 1.230440 | 1.700335 | 1.487053 | 0.765322 | 0.291816 | -0.118773 | -0.121241 | 0.657139 | 0.866833 | 1.459149 | 3.340269 | 3.157854 | 1.112182 | 0.292966 | 0.932122 | 1.664617 | 1.792101 | 0.817459 | 0.191351 | 0.159207 | 0.451333 | 0.176637 | 0.545973 | 0.341115 | 0.127988 | 0.330943 | 0.107690 | 0.269929 | 0.147838 | 0.520379 | -0.538834 | -0.126378 | 0.299304 | 0.136209 | -0.627076 | 2.905440 | -0.007043 | 0.328010 | 0.140448 | 0.654483 | 0.209373 | 1.661436 | -0.072998 | -0.045151 | -0.937094 | -0.117422 | 0.066903 | 0.043117 | -0.054476 | -0.048787 | 0.042487 | 0.032172 | -0.049954 | -0.543499 | -0.067206 | -0.246554 | 0.285451 | -0.328642 | 0.044257 | -0.132897 | -0.205950 | -0.205395 | -0.213725 | -0.223208 | -0.102267 | 0.026209 | 0.108437 | 0.091700 | 0.410721 | 2.261769 | -0.064166 | 0.549155 | 1.085833 | 1.344525 | 1.225658 | 1.663463 | 1.338288 | 0.448645 | -0.443464 | -0.520671 | 0.495312 | 0.017462 | -0.108068 | -0.153615 | -0.306848 | -0.321385 | -0.531890 | -0.590746 | -0.522060 | 0.008395 | -0.449596 | -0.470554 | -0.633056 | -0.587998 | -0.801052 | 1 |
| 4 | 1 | 0 | -2.471353 | 1.397143 | 0.299925 | -0.886646 | -0.882056 | 0.986391 | 3.141518 | 1.151283 | 1.177489 | 1.075756 | 0.662624 | 1.079152 | -0.264684 | -0.286012 | -0.236306 | -0.290992 | -0.076206 | -0.236157 | 0.222260 | -0.229418 | 0.125055 | 0.656683 | 0.744888 | 0.739026 | 1.479140 | -0.109442 | 1.624873 | 1.547148 | 0.615206 | -0.193530 | -0.441688 | -0.185308 | 0.500908 | 2.240122 | 1.497275 | -0.732471 | -0.399384 | 0.119167 | 0.882711 | 0.591183 | 0.308497 | -0.575305 | -0.604254 | -0.529022 | -0.382812 | -0.295263 | 0.075135 | 0.574870 | 0.342543 | 1.504959 | 1.721329 | 1.510557 | -0.581813 | 1.166134 | 0.592865 | -0.077246 | 0.104138 | 1.009517 | 0.393287 | -0.259271 | -0.224299 | 0.790364 | 1.022776 | 1.359972 | -0.365373 | -0.471115 | -0.939891 | 0.008854 | 0.605252 | 0.222271 | -0.236737 | 0.649256 | -0.275103 | -0.558904 | 0.174254 | 0.987685 | -1.186054 | -0.227440 | 0.527297 | -0.518629 | -0.309068 | -0.640436 | -0.419883 | -1.113834 | 1.175197 | 0.650628 | -0.446134 | -0.449700 | 1.469403 | -0.952772 | 0.593096 | 1.564333 | -0.889349 | 0.537950 | 0.409910 | 0.138322 | -0.378831 | -0.132486 | -0.440884 | -0.192050 | -0.936070 | -0.599234 | -1.233625 | -0.996046 | -0.625358 | -0.784438 | -1.310708 | -0.520736 | -0.782728 | -0.495194 | -0.298813 | 1.027812 | -0.210332 | 0.436909 | -0.344635 | -0.148568 | -0.694597 | -1.016234 | -0.559854 | -0.586062 | -1.004794 | -0.749724 | -0.416440 | -0.457638 | -0.306839 | 1.058782 | -0.450570 | 0.240647 | -0.310311 | -0.373351 | -0.590561 | -1.086573 | -0.596899 | -0.766782 | -0.991496 | -0.591761 | -0.698906 | -0.519089 | -3.879973 | 0.191220 | 0.354052 | 0.590771 | 2.296079 | 1.124825 | 2.944048 | 6.475383 | 1.542934 | 4.580352 | 5.004880 | -0.066537 | -0.154064 | -0.225817 | -1.238673 | -0.645902 | -1.202349 | -2.209836 | -0.402922 | -3.932736 | -2.296604 | 1.523564 | 1.875163 | 2.383707 | 3.096197 | 2.856704 | 2.748189 | 2.859172 | 2.481855 | 2.747985 | 2.754313 | 0.080758 | 0.286781 | 0.312749 | 1.367713 | 0.970993 | 1.210471 | 2.249492 | 0.138025 | 3.692913 | 2.235223 | 0.100976 | 0.241395 | 0.365869 | 1.420478 | 0.782616 | 1.353266 | 2.484990 | 0.431128 | 2.986519 | 1.840850 | 0.389025 | 0.465804 | 0.567323 | 0.704760 | 0.825664 | 0.905934 | 0.938542 | 0.979247 | 0.981933 | 0.988562 | -0.331799 | -0.453265 | -0.644834 | -0.897406 | -1.196593 | -1.410585 | -1.477478 | -1.585748 | -1.582853 | -1.578194 | 0.332484 | 0.314930 | 0.152341 | -0.208021 | -0.322125 | -0.427558 | -0.420009 | -0.430452 | -0.426626 | -0.523718 | 0.114441 | 0.154981 | 0.173694 | -0.114149 | -0.097845 | -0.026584 | -0.408819 | -0.264786 | -0.438020 | -0.493084 | -2.850036 | 0.459878 | 0.691423 | 0.763824 | 2.284057 | 1.144200 | 1.996298 | 4.389359 | 0.947234 | 4.175411 | 2.974626 | 1.833265 | 2.585473 | 2.527008 | 1.594504 | 0.639042 | 0.074378 | -1.756477 | -0.157047 | ... | -0.057430 | 0.008007 | -0.530685 | -0.297529 | 0.023357 | 0.217300 | -0.325670 | -0.081263 | -0.321913 | -0.507150 | -0.306236 | -0.429116 | 0.126433 | -0.256182 | -0.069233 | 0.128427 | 0.639852 | 1.802843 | 2.057928 | 0.101993 | -0.702391 | 4.162204 | 2.596093 | 0.014947 | 0.005671 | -0.077639 | -0.262831 | 0.223099 | -0.363328 | -0.192763 | 0.349077 | -0.170973 | 0.212417 | -0.213037 | 0.916459 | -0.335860 | -0.327851 | 0.577175 | 0.236028 | 0.069006 | -0.363231 | -0.337586 | -0.047452 | 0.140773 | -0.278308 | 0.438306 | -0.719470 | -0.829044 | 0.643013 | 0.308515 | -0.207403 | 0.721110 | -0.537344 | -1.556033 | 1.395529 | 0.639925 | -1.272283 | -1.896416 | -0.400242 | 0.021379 | 0.015501 | -0.035470 | 0.270264 | -0.204280 | -0.102539 | 0.008634 | 0.436101 | -0.027027 | 0.723969 | -0.074676 | -0.047255 | -0.141514 | -0.313336 | -0.316220 | -0.447159 | -0.547728 | -0.482689 | -0.520769 | -0.675480 | -0.679145 | -0.320284 | -0.062524 | 0.279703 | 0.532382 | 0.280541 | -0.335554 | -0.578854 | -0.457995 | 0.047192 | 0.805155 | 0.351167 | 1.149252 | 2.644376 | 2.996746 | 1.062990 | -0.333231 | 0.177874 | 0.749795 | 0.697558 | 0.220028 | 0.145196 | 0.156114 | 0.092338 | 0.045545 | 0.525368 | 0.048493 | 0.194895 | 0.187969 | 0.319372 | 0.233427 | 0.223243 | 0.260203 | 0.201034 | 0.261012 | 0.136852 | 0.025987 | -0.032826 | -0.210974 | -0.940882 | -1.821788 | -1.454390 | -0.472888 | 0.042077 | 0.250800 | -0.117115 | -0.712422 | -0.606701 | -1.618128 | -2.496240 | -2.971286 | -1.024670 | 0.010427 | -0.558564 | -1.330618 | -1.174544 | -0.114035 | -0.444817 | -0.671512 | -0.372115 | -0.148553 | -0.479405 | 0.480272 | 0.074138 | -0.311494 | -0.210029 | -0.312548 | -0.164683 | -0.241317 | -0.217888 | -0.202903 | -0.042995 | 0.123135 | -0.103153 | 0.273849 | 1.229282 | 1.349014 | 0.896298 | 0.577248 | -0.153373 | -0.271380 | 0.123508 | 0.979303 | 0.613763 | 1.729574 | 2.504694 | 2.967969 | 1.318753 | 0.130207 | 0.691543 | 1.490546 | 1.268561 | 0.418004 | 0.473069 | 0.576257 | 0.276701 | -0.002231 | 0.557189 | 0.020534 | 0.000505 | -0.073852 | -0.002384 | -0.205476 | -0.047379 | -0.371270 | -0.513541 | -0.089058 | -0.047729 | 0.636448 | 0.143193 | 1.486680 | 0.222561 | -0.148124 | -0.434536 | -0.374249 | -0.414820 | -0.537330 | -0.337607 | 0.320527 | 0.072690 | 0.254617 | 0.041437 | 0.042969 | 0.070537 | 0.003313 | 0.033837 | 0.024214 | -0.053348 | 0.394232 | 0.281129 | -0.013379 | -0.235003 | -0.013909 | 0.060963 | -0.291582 | -0.244337 | -0.240829 | -0.244303 | -0.246107 | -0.197308 | -0.109167 | -0.058609 | -0.045147 | -0.029167 | 0.567707 | -0.148977 | -0.014481 | 0.372494 | 0.638580 | 0.657257 | 1.079326 | 0.714898 | -0.085534 | -0.363802 | -0.454120 | 0.048075 | -0.068861 | -0.130378 | -0.158481 | -0.306866 | -0.300636 | -0.475230 | -0.521011 | -0.489766 | -0.404565 | -0.249513 | -0.041993 | -0.419076 | -0.671771 | -0.740987 | 1 |
5 rows × 755 columns
# Top variables with missing values:
mv = {}
for var in data:
mv[var] = data[var].isna().sum()
top_missing = sorted(mv.items(), key=operator.itemgetter(1), reverse=True)
if any([nb_missing for nb_missing in mv.values()]):
print(top_missing)
else:
print('No missing values in the whole dataset!')
No missing values in the whole dataset!
# Very informative...
data.describe()
| -id | -gender | Baseline Features-PPE | Baseline Features-DFA | Baseline Features-RPDE | Baseline Features-numPulses | Baseline Features-numPeriodsPulses | Baseline Features-meanPeriodPulses | Baseline Features-stdDevPeriodPulses | Baseline Features-locPctJitter | Baseline Features-locAbsJitter | Baseline Features-rapJitter | Baseline Features-ppq5Jitter | Baseline Features-ddpJitter | Baseline Features-locShimmer | Baseline Features-locDbShimmer | Baseline Features-apq3Shimmer | Baseline Features-apq5Shimmer | Baseline Features-apq11Shimmer | Baseline Features-ddaShimmer | Baseline Features-meanAutoCorrHarmonicity | Baseline Features-meanNoiseToHarmHarmonicity | Baseline Features-meanHarmToNoiseHarmonicity | Intensity Parameters-minIntensity | Intensity Parameters-maxIntensity | Intensity Parameters-meanIntensity | Formant Frequencies-f1 | Formant Frequencies-f2 | Formant Frequencies-f3 | Formant Frequencies-f4 | Bandwidth Parameters-b1 | Bandwidth Parameters-b2 | Bandwidth Parameters-b3 | Bandwidth Parameters-b4 | Vocal Fold-GQ_prc5_95 | Vocal Fold-GQ_std_cycle_open | Vocal Fold-GQ_std_cycle_closed | Vocal Fold-GNE_mean | Vocal Fold-GNE_std | Vocal Fold-GNE_SNR_TKEO | Vocal Fold-GNE_SNR_SEO | Vocal Fold-GNE_NSR_TKEO | Vocal Fold-GNE_NSR_SEO | Vocal Fold-VFER_mean | Vocal Fold-VFER_std | Vocal Fold-VFER_entropy | Vocal Fold-VFER_SNR_TKEO | Vocal Fold-VFER_SNR_SEO | Vocal Fold-VFER_NSR_TKEO | Vocal Fold-VFER_NSR_SEO | Vocal Fold-IMF_SNR_SEO | Vocal Fold-IMF_SNR_TKEO | Vocal Fold-IMF_SNR_entropy | Vocal Fold-IMF_NSR_SEO | Vocal Fold-IMF_NSR_TKEO | Vocal Fold-IMF_NSR_entropy | MFCC -mean_Log_energy | MFCC -mean_MFCC_0th_coef | MFCC -mean_MFCC_1st_coef | MFCC -mean_MFCC_2nd_coef | MFCC -mean_MFCC_3rd_coef | MFCC -mean_MFCC_4th_coef | MFCC -mean_MFCC_5th_coef | MFCC -mean_MFCC_6th_coef | MFCC -mean_MFCC_7th_coef | MFCC -mean_MFCC_8th_coef | MFCC -mean_MFCC_9th_coef | MFCC -mean_MFCC_10th_coef | MFCC -mean_MFCC_11th_coef | MFCC -mean_MFCC_12th_coef | MFCC -mean_delta_log_energy | MFCC -mean_0th_delta | MFCC -mean_1st_delta | MFCC -mean_2nd_delta | MFCC -mean_3rd_delta | MFCC -mean_4th_delta | MFCC -mean_5th_delta | MFCC -mean_6th_delta | MFCC -mean_7th_delta | MFCC -mean_8th_delta | MFCC -mean_9th_delta | MFCC -mean_10th_delta | MFCC -mean_11th_delta | MFCC -mean_12th_delta | MFCC -mean_delta_delta_log_energy | MFCC -mean_delta_delta_0th | MFCC -mean_1st_delta_delta | MFCC -mean_2nd_delta_delta | MFCC -mean_3rd_delta_delta | MFCC -mean_4th_delta_delta | MFCC -mean_5th_delta_delta | MFCC -mean_6th_delta_delta | MFCC -mean_7th_delta_delta | MFCC -mean_8th_delta_delta | MFCC -mean_9th_delta_delta | MFCC -mean_10th_delta_delta | MFCC -mean_11th_delta_delta | MFCC -mean_12th_delta_delta | MFCC -std_Log_energy | MFCC -std_MFCC_0th_coef | MFCC -std_MFCC_1st_coef | MFCC -std_MFCC_2nd_coef | MFCC -std_MFCC_3rd_coef | MFCC -std_MFCC_4th_coef | MFCC -std_MFCC_5th_coef | MFCC -std_MFCC_6th_coef | MFCC -std_MFCC_7th_coef | MFCC -std_MFCC_8th_coef | MFCC -std_MFCC_9th_coef | MFCC -std_MFCC_10th_coef | MFCC -std_MFCC_11th_coef | MFCC -std_MFCC_12th_coef | MFCC -std_delta_log_energy | MFCC -std_0th_delta | MFCC -std_1st_delta | MFCC -std_2nd_delta | MFCC -std_3rd_delta | MFCC -std_4th_delta | MFCC -std_5th_delta | MFCC -std_6th_delta | MFCC -std_7th_delta | MFCC -std_8th_delta | MFCC -std_9th_delta | MFCC -std_10th_delta | MFCC -std_11th_delta | MFCC -std_12th_delta | MFCC -std_delta_delta_log_energy | MFCC -std_delta_delta_0th | MFCC -std_1st_delta_delta | MFCC -std_2nd_delta_delta | MFCC -std_3rd_delta_delta | MFCC -std_4th_delta_delta | MFCC -std_5th_delta_delta | MFCC -std_6th_delta_delta | MFCC -std_7th_delta_delta | MFCC -std_8th_delta_delta | MFCC -std_9th_delta_delta | MFCC -std_10th_delta_delta | MFCC -std_11th_delta_delta | MFCC -std_12th_delta_delta | Wavelet Features-Ea | Wavelet Features-Ed_1_coef | Wavelet Features-Ed_2_coef | Wavelet Features-Ed_3_coef | Wavelet Features-Ed_4_coef | Wavelet Features-Ed_5_coef | Wavelet Features-Ed_6_coef | Wavelet Features-Ed_7_coef | Wavelet Features-Ed_8_coef | Wavelet Features-Ed_9_coef | Wavelet Features-Ed_10_coef | Wavelet Features-det_entropy_shannon_1_coef | Wavelet Features-det_entropy_shannon_2_coef | Wavelet Features-det_entropy_shannon_3_coef | Wavelet Features-det_entropy_shannon_4_coef | Wavelet Features-det_entropy_shannon_5_coef | Wavelet Features-det_entropy_shannon_6_coef | Wavelet Features-det_entropy_shannon_7_coef | Wavelet Features-det_entropy_shannon_8_coef | Wavelet Features-det_entropy_shannon_9_coef | Wavelet Features-det_entropy_shannon_10_coef | Wavelet Features-det_entropy_log_1_coef | Wavelet Features-det_entropy_log_2_coef | Wavelet Features-det_entropy_log_3_coef | Wavelet Features-det_entropy_log_4_coef | Wavelet Features-det_entropy_log_5_coef | Wavelet Features-det_entropy_log_6_coef | Wavelet Features-det_entropy_log_7_coef | Wavelet Features-det_entropy_log_8_coef | Wavelet Features-det_entropy_log_9_coef | Wavelet Features-det_entropy_log_10_coef | Wavelet Features-det_TKEO_mean_1_coef | Wavelet Features-det_TKEO_mean_2_coef | Wavelet Features-det_TKEO_mean_3_coef | Wavelet Features-det_TKEO_mean_4_coef | Wavelet Features-det_TKEO_mean_5_coef | Wavelet Features-det_TKEO_mean_6_coef | Wavelet Features-det_TKEO_mean_7_coef | Wavelet Features-det_TKEO_mean_8_coef | Wavelet Features-det_TKEO_mean_9_coef | Wavelet Features-det_TKEO_mean_10_coef | Wavelet Features-det_TKEO_std_1_coef | Wavelet Features-det_TKEO_std_2_coef | Wavelet Features-det_TKEO_std_3_coef | Wavelet Features-det_TKEO_std_4_coef | Wavelet Features-det_TKEO_std_5_coef | Wavelet Features-det_TKEO_std_6_coef | Wavelet Features-det_TKEO_std_7_coef | Wavelet Features-det_TKEO_std_8_coef | Wavelet Features-det_TKEO_std_9_coef | Wavelet Features-det_TKEO_std_10_coef | Wavelet Features-app_entropy_shannon_1_coef | Wavelet Features-app_entropy_shannon_2_coef | Wavelet Features-app_entropy_shannon_3_coef | Wavelet Features-app_entropy_shannon_4_coef | Wavelet Features-app_entropy_shannon_5_coef | Wavelet Features-app_entropy_shannon_6_coef | Wavelet Features-app_entropy_shannon_7_coef | Wavelet Features-app_entropy_shannon_8_coef | Wavelet Features-app_entropy_shannon_9_coef | Wavelet Features-app_entropy_shannon_10_coef | Wavelet Features-app_entropy_log_1_coef | Wavelet Features-app_entropy_log_2_coef | Wavelet Features-app_entropy_log_3_coef | Wavelet Features-app_entropy_log_4_coef | Wavelet Features-app_entropy_log_5_coef | Wavelet Features-app_entropy_log_6_coef | Wavelet Features-app_entropy_log_7_coef | Wavelet Features-app_entropy_log_8_coef | Wavelet Features-app_entropy_log_9_coef | Wavelet Features-app_entropy_log_10_coef | Wavelet Features-app_det_TKEO_mean_1_coef | Wavelet Features-app_det_TKEO_mean_2_coef | Wavelet Features-app_det_TKEO_mean_3_coef | Wavelet Features-app_det_TKEO_mean_4_coef | Wavelet Features-app_det_TKEO_mean_5_coef | Wavelet Features-app_det_TKEO_mean_6_coef | Wavelet Features-app_det_TKEO_mean_7_coef | Wavelet Features-app_det_TKEO_mean_8_coef | Wavelet Features-app_det_TKEO_mean_9_coef | Wavelet Features-app_det_TKEO_mean_10_coef | Wavelet Features-app_TKEO_std_1_coef | Wavelet Features-app_TKEO_std_2_coef | Wavelet Features-app_TKEO_std_3_coef | Wavelet Features-app_TKEO_std_4_coef | Wavelet Features-app_TKEO_std_5_coef | Wavelet Features-app_TKEO_std_6_coef | Wavelet Features-app_TKEO_std_7_coef | Wavelet Features-app_TKEO_std_8_coef | Wavelet Features-app_TKEO_std_9_coef | Wavelet Features-app_TKEO_std_10_coef | Wavelet Features-Ea2 | Wavelet Features-Ed2_1_coef | Wavelet Features-Ed2_2_coef | Wavelet Features-Ed2_3_coef | Wavelet Features-Ed2_4_coef | Wavelet Features-Ed2_5_coef | Wavelet Features-Ed2_6_coef | Wavelet Features-Ed2_7_coef | Wavelet Features-Ed2_8_coef | Wavelet Features-Ed2_9_coef | Wavelet Features-Ed2_10_coef | Wavelet Features-det_LT_entropy_shannon_1_coef | Wavelet Features-det_LT_entropy_shannon_2_coef | Wavelet Features-det_LT_entropy_shannon_3_coef | Wavelet Features-det_LT_entropy_shannon_4_coef | Wavelet Features-det_LT_entropy_shannon_5_coef | Wavelet Features-det_LT_entropy_shannon_6_coef | Wavelet Features-det_LT_entropy_shannon_7_coef | Wavelet Features-det_LT_entropy_shannon_8_coef | ... | TQWT Features-tqwt_medianValue_dec_4 | TQWT Features-tqwt_medianValue_dec_5 | TQWT Features-tqwt_medianValue_dec_6 | TQWT Features-tqwt_medianValue_dec_7 | TQWT Features-tqwt_medianValue_dec_8 | TQWT Features-tqwt_medianValue_dec_9 | TQWT Features-tqwt_medianValue_dec_10 | TQWT Features-tqwt_medianValue_dec_11 | TQWT Features-tqwt_medianValue_dec_12 | TQWT Features-tqwt_medianValue_dec_13 | TQWT Features-tqwt_medianValue_dec_14 | TQWT Features-tqwt_medianValue_dec_15 | TQWT Features-tqwt_medianValue_dec_16 | TQWT Features-tqwt_medianValue_dec_17 | TQWT Features-tqwt_medianValue_dec_18 | TQWT Features-tqwt_medianValue_dec_19 | TQWT Features-tqwt_medianValue_dec_20 | TQWT Features-tqwt_medianValue_dec_21 | TQWT Features-tqwt_medianValue_dec_22 | TQWT Features-tqwt_medianValue_dec_23 | TQWT Features-tqwt_medianValue_dec_24 | TQWT Features-tqwt_medianValue_dec_25 | TQWT Features-tqwt_medianValue_dec_26 | TQWT Features-tqwt_medianValue_dec_27 | TQWT Features-tqwt_medianValue_dec_28 | TQWT Features-tqwt_medianValue_dec_29 | TQWT Features-tqwt_medianValue_dec_30 | TQWT Features-tqwt_medianValue_dec_31 | TQWT Features-tqwt_medianValue_dec_32 | TQWT Features-tqwt_medianValue_dec_33 | TQWT Features-tqwt_medianValue_dec_34 | TQWT Features-tqwt_medianValue_dec_35 | TQWT Features-tqwt_medianValue_dec_36 | TQWT Features-tqwt_meanValue_dec_1 | TQWT Features-tqwt_meanValue_dec_2 | TQWT Features-tqwt_meanValue_dec_3 | TQWT Features-tqwt_meanValue_dec_4 | TQWT Features-tqwt_meanValue_dec_5 | TQWT Features-tqwt_meanValue_dec_6 | TQWT Features-tqwt_meanValue_dec_7 | TQWT Features-tqwt_meanValue_dec_8 | TQWT Features-tqwt_meanValue_dec_9 | TQWT Features-tqwt_meanValue_dec_10 | TQWT Features-tqwt_meanValue_dec_11 | TQWT Features-tqwt_meanValue_dec_12 | TQWT Features-tqwt_meanValue_dec_13 | TQWT Features-tqwt_meanValue_dec_14 | TQWT Features-tqwt_meanValue_dec_15 | TQWT Features-tqwt_meanValue_dec_16 | TQWT Features-tqwt_meanValue_dec_17 | TQWT Features-tqwt_meanValue_dec_18 | TQWT Features-tqwt_meanValue_dec_19 | TQWT Features-tqwt_meanValue_dec_20 | TQWT Features-tqwt_meanValue_dec_21 | TQWT Features-tqwt_meanValue_dec_22 | TQWT Features-tqwt_meanValue_dec_23 | TQWT Features-tqwt_meanValue_dec_24 | TQWT Features-tqwt_meanValue_dec_25 | TQWT Features-tqwt_meanValue_dec_26 | TQWT Features-tqwt_meanValue_dec_27 | TQWT Features-tqwt_meanValue_dec_28 | TQWT Features-tqwt_meanValue_dec_29 | TQWT Features-tqwt_meanValue_dec_30 | TQWT Features-tqwt_meanValue_dec_31 | TQWT Features-tqwt_meanValue_dec_32 | TQWT Features-tqwt_meanValue_dec_33 | TQWT Features-tqwt_meanValue_dec_34 | TQWT Features-tqwt_meanValue_dec_35 | TQWT Features-tqwt_meanValue_dec_36 | TQWT Features-tqwt_stdValue_dec_1 | TQWT Features-tqwt_stdValue_dec_2 | TQWT Features-tqwt_stdValue_dec_3 | TQWT Features-tqwt_stdValue_dec_4 | TQWT Features-tqwt_stdValue_dec_5 | TQWT Features-tqwt_stdValue_dec_6 | TQWT Features-tqwt_stdValue_dec_7 | TQWT Features-tqwt_stdValue_dec_8 | TQWT Features-tqwt_stdValue_dec_9 | TQWT Features-tqwt_stdValue_dec_10 | TQWT Features-tqwt_stdValue_dec_11 | TQWT Features-tqwt_stdValue_dec_12 | TQWT Features-tqwt_stdValue_dec_13 | TQWT Features-tqwt_stdValue_dec_14 | TQWT Features-tqwt_stdValue_dec_15 | TQWT Features-tqwt_stdValue_dec_16 | TQWT Features-tqwt_stdValue_dec_17 | TQWT Features-tqwt_stdValue_dec_18 | TQWT Features-tqwt_stdValue_dec_19 | TQWT Features-tqwt_stdValue_dec_20 | TQWT Features-tqwt_stdValue_dec_21 | TQWT Features-tqwt_stdValue_dec_22 | TQWT Features-tqwt_stdValue_dec_23 | TQWT Features-tqwt_stdValue_dec_24 | TQWT Features-tqwt_stdValue_dec_25 | TQWT Features-tqwt_stdValue_dec_26 | TQWT Features-tqwt_stdValue_dec_27 | TQWT Features-tqwt_stdValue_dec_28 | TQWT Features-tqwt_stdValue_dec_29 | TQWT Features-tqwt_stdValue_dec_30 | TQWT Features-tqwt_stdValue_dec_31 | TQWT Features-tqwt_stdValue_dec_32 | TQWT Features-tqwt_stdValue_dec_33 | TQWT Features-tqwt_stdValue_dec_34 | TQWT Features-tqwt_stdValue_dec_35 | TQWT Features-tqwt_stdValue_dec_36 | TQWT Features-tqwt_minValue_dec_1 | TQWT Features-tqwt_minValue_dec_2 | TQWT Features-tqwt_minValue_dec_3 | TQWT Features-tqwt_minValue_dec_4 | TQWT Features-tqwt_minValue_dec_5 | TQWT Features-tqwt_minValue_dec_6 | TQWT Features-tqwt_minValue_dec_7 | TQWT Features-tqwt_minValue_dec_8 | TQWT Features-tqwt_minValue_dec_9 | TQWT Features-tqwt_minValue_dec_10 | TQWT Features-tqwt_minValue_dec_11 | TQWT Features-tqwt_minValue_dec_12 | TQWT Features-tqwt_minValue_dec_13 | TQWT Features-tqwt_minValue_dec_14 | TQWT Features-tqwt_minValue_dec_15 | TQWT Features-tqwt_minValue_dec_16 | TQWT Features-tqwt_minValue_dec_17 | TQWT Features-tqwt_minValue_dec_18 | TQWT Features-tqwt_minValue_dec_19 | TQWT Features-tqwt_minValue_dec_20 | TQWT Features-tqwt_minValue_dec_21 | TQWT Features-tqwt_minValue_dec_22 | TQWT Features-tqwt_minValue_dec_23 | TQWT Features-tqwt_minValue_dec_24 | TQWT Features-tqwt_minValue_dec_25 | TQWT Features-tqwt_minValue_dec_26 | TQWT Features-tqwt_minValue_dec_27 | TQWT Features-tqwt_minValue_dec_28 | TQWT Features-tqwt_minValue_dec_29 | TQWT Features-tqwt_minValue_dec_30 | TQWT Features-tqwt_minValue_dec_31 | TQWT Features-tqwt_minValue_dec_32 | TQWT Features-tqwt_minValue_dec_33 | TQWT Features-tqwt_minValue_dec_34 | TQWT Features-tqwt_minValue_dec_35 | TQWT Features-tqwt_minValue_dec_36 | TQWT Features-tqwt_maxValue_dec_1 | TQWT Features-tqwt_maxValue_dec_2 | TQWT Features-tqwt_maxValue_dec_3 | TQWT Features-tqwt_maxValue_dec_4 | TQWT Features-tqwt_maxValue_dec_5 | TQWT Features-tqwt_maxValue_dec_6 | TQWT Features-tqwt_maxValue_dec_7 | TQWT Features-tqwt_maxValue_dec_8 | TQWT Features-tqwt_maxValue_dec_9 | TQWT Features-tqwt_maxValue_dec_10 | TQWT Features-tqwt_maxValue_dec_11 | TQWT Features-tqwt_maxValue_dec_12 | TQWT Features-tqwt_maxValue_dec_13 | TQWT Features-tqwt_maxValue_dec_14 | TQWT Features-tqwt_maxValue_dec_15 | TQWT Features-tqwt_maxValue_dec_16 | TQWT Features-tqwt_maxValue_dec_17 | TQWT Features-tqwt_maxValue_dec_18 | TQWT Features-tqwt_maxValue_dec_19 | TQWT Features-tqwt_maxValue_dec_20 | TQWT Features-tqwt_maxValue_dec_21 | TQWT Features-tqwt_maxValue_dec_22 | TQWT Features-tqwt_maxValue_dec_23 | TQWT Features-tqwt_maxValue_dec_24 | TQWT Features-tqwt_maxValue_dec_25 | TQWT Features-tqwt_maxValue_dec_26 | TQWT Features-tqwt_maxValue_dec_27 | TQWT Features-tqwt_maxValue_dec_28 | TQWT Features-tqwt_maxValue_dec_29 | TQWT Features-tqwt_maxValue_dec_30 | TQWT Features-tqwt_maxValue_dec_31 | TQWT Features-tqwt_maxValue_dec_32 | TQWT Features-tqwt_maxValue_dec_33 | TQWT Features-tqwt_maxValue_dec_34 | TQWT Features-tqwt_maxValue_dec_35 | TQWT Features-tqwt_maxValue_dec_36 | TQWT Features-tqwt_skewnessValue_dec_1 | TQWT Features-tqwt_skewnessValue_dec_2 | TQWT Features-tqwt_skewnessValue_dec_3 | TQWT Features-tqwt_skewnessValue_dec_4 | TQWT Features-tqwt_skewnessValue_dec_5 | TQWT Features-tqwt_skewnessValue_dec_6 | TQWT Features-tqwt_skewnessValue_dec_7 | TQWT Features-tqwt_skewnessValue_dec_8 | TQWT Features-tqwt_skewnessValue_dec_9 | TQWT Features-tqwt_skewnessValue_dec_10 | TQWT Features-tqwt_skewnessValue_dec_11 | TQWT Features-tqwt_skewnessValue_dec_12 | TQWT Features-tqwt_skewnessValue_dec_13 | TQWT Features-tqwt_skewnessValue_dec_14 | TQWT Features-tqwt_skewnessValue_dec_15 | TQWT Features-tqwt_skewnessValue_dec_16 | TQWT Features-tqwt_skewnessValue_dec_17 | TQWT Features-tqwt_skewnessValue_dec_18 | TQWT Features-tqwt_skewnessValue_dec_19 | TQWT Features-tqwt_skewnessValue_dec_20 | TQWT Features-tqwt_skewnessValue_dec_21 | TQWT Features-tqwt_skewnessValue_dec_22 | TQWT Features-tqwt_skewnessValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_24 | TQWT Features-tqwt_skewnessValue_dec_25 | TQWT Features-tqwt_skewnessValue_dec_26 | TQWT Features-tqwt_skewnessValue_dec_27 | TQWT Features-tqwt_skewnessValue_dec_28 | TQWT Features-tqwt_skewnessValue_dec_29 | TQWT Features-tqwt_skewnessValue_dec_30 | TQWT Features-tqwt_skewnessValue_dec_31 | TQWT Features-tqwt_skewnessValue_dec_32 | TQWT Features-tqwt_skewnessValue_dec_33 | TQWT Features-tqwt_skewnessValue_dec_34 | TQWT Features-tqwt_skewnessValue_dec_35 | TQWT Features-tqwt_skewnessValue_dec_36 | TQWT Features-tqwt_kurtosisValue_dec_1 | TQWT Features-tqwt_kurtosisValue_dec_2 | TQWT Features-tqwt_kurtosisValue_dec_3 | TQWT Features-tqwt_kurtosisValue_dec_4 | TQWT Features-tqwt_kurtosisValue_dec_5 | TQWT Features-tqwt_kurtosisValue_dec_6 | TQWT Features-tqwt_kurtosisValue_dec_7 | TQWT Features-tqwt_kurtosisValue_dec_8 | TQWT Features-tqwt_kurtosisValue_dec_9 | TQWT Features-tqwt_kurtosisValue_dec_10 | TQWT Features-tqwt_kurtosisValue_dec_11 | TQWT Features-tqwt_kurtosisValue_dec_12 | TQWT Features-tqwt_kurtosisValue_dec_13 | TQWT Features-tqwt_kurtosisValue_dec_14 | TQWT Features-tqwt_kurtosisValue_dec_15 | TQWT Features-tqwt_kurtosisValue_dec_16 | TQWT Features-tqwt_kurtosisValue_dec_17 | TQWT Features-tqwt_kurtosisValue_dec_18 | TQWT Features-tqwt_kurtosisValue_dec_19 | TQWT Features-tqwt_kurtosisValue_dec_20 | TQWT Features-tqwt_kurtosisValue_dec_21 | TQWT Features-tqwt_kurtosisValue_dec_22 | TQWT Features-tqwt_kurtosisValue_dec_23 | TQWT Features-tqwt_kurtosisValue_dec_24 | TQWT Features-tqwt_kurtosisValue_dec_25 | TQWT Features-tqwt_kurtosisValue_dec_26 | TQWT Features-tqwt_kurtosisValue_dec_27 | TQWT Features-tqwt_kurtosisValue_dec_28 | TQWT Features-tqwt_kurtosisValue_dec_29 | TQWT Features-tqwt_kurtosisValue_dec_30 | TQWT Features-tqwt_kurtosisValue_dec_31 | TQWT Features-tqwt_kurtosisValue_dec_32 | TQWT Features-tqwt_kurtosisValue_dec_33 | TQWT Features-tqwt_kurtosisValue_dec_34 | TQWT Features-tqwt_kurtosisValue_dec_35 | TQWT Features-tqwt_kurtosisValue_dec_36 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 756.000000 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | ... | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 7.560000e+02 | 756.000000 |
| mean | 125.500000 | 0.515873 | 9.281230e-16 | -1.379261e-15 | -1.879743e-17 | -7.518971e-17 | -1.691768e-16 | -1.409807e-16 | -2.349678e-17 | 3.289550e-17 | -9.868649e-17 | 5.639228e-17 | -1.409807e-17 | 0.000000 | -4.934325e-17 | -2.349678e-17 | 9.398713e-18 | 8.693810e-17 | -2.678633e-16 | 7.753939e-17 | -8.693810e-16 | -2.114711e-17 | 2.208698e-16 | -1.292323e-16 | 9.657178e-16 | 4.182427e-16 | -2.349678e-18 | 6.861061e-16 | -2.819614e-16 | 2.631640e-16 | 2.349678e-18 | -3.994453e-17 | 5.874196e-17 | -6.814067e-17 | -6.767074e-16 | -2.819614e-17 | 0.000000 | 1.010362e-16 | 1.550788e-16 | -1.127846e-16 | -3.383537e-16 | 6.015177e-16 | 1.654174e-15 | -5.169292e-17 | -1.997227e-17 | 1.409807e-17 | -1.644775e-16 | 4.934325e-17 | 1.355764e-15 | 7.941913e-16 | 7.049035e-18 | 3.172066e-17 | 5.639228e-17 | 4.617118e-16 | -1.503794e-16 | -4.534879e-16 | -1.737587e-15 | 1.409807e-17 | 1.043257e-15 | -1.879743e-17 | -9.398713e-18 | -3.759485e-17 | -9.398713e-18 | -2.208698e-16 | -9.398713e-18 | -1.409807e-17 | -2.349678e-18 | 6.579099e-17 | 4.111937e-18 | 1.879743e-17 | -1.879743e-17 | -2.819614e-17 | 0.000000 | 3.524518e-18 | -2.114711e-17 | 4.699357e-18 | 4.699357e-18 | 3.524518e-18 | 4.229421e-17 | 1.644775e-17 | -4.699357e-18 | 2.349678e-17 | 2.114711e-17 | -9.398713e-18 | -4.699357e-18 | 0.000000 | 0.000000 | 2.349678e-17 | -2.349678e-18 | -1.057355e-17 | 4.699357e-18 | -2.819614e-17 | -1.409807e-17 | -2.114711e-17 | -1.292323e-17 | 1.409807e-17 | -1.644775e-17 | -3.759485e-17 | -8.223874e-17 | -7.401487e-17 | -2.584646e-16 | -1.785756e-16 | -3.242556e-16 | 6.226648e-17 | -1.398059e-16 | -1.656523e-16 | 3.524518e-18 | 7.871423e-17 | 3.289550e-17 | 4.464389e-17 | 1.997227e-16 | 9.868649e-17 | -1.080852e-16 | -1.668272e-16 | 4.699357e-17 | -3.524518e-17 | -1.597781e-16 | -6.579099e-17 | -2.114711e-16 | -4.393899e-16 | -1.268826e-16 | -3.336543e-16 | -3.277801e-16 | -5.639228e-17 | -1.656523e-16 | -8.458842e-17 | 7.049035e-17 | 7.518971e-17 | -1.127846e-16 | 4.182427e-16 | -2.349678e-16 | 2.349678e-16 | -1.104349e-16 | -1.973730e-16 | 7.518971e-17 | 4.041447e-16 | -2.819614e-17 | -1.973730e-16 | 4.511382e-16 | 5.639228e-16 | -1.544209e-14 | 2.349678e-17 | -4.699357e-18 | 0.000000 | -1.409807e-17 | -4.699357e-18 | 2.349678e-18 | 2.232194e-17 | -4.934325e-17 | -4.699357e-18 | 3.759485e-17 | 9.398713e-18 | 0.000000 | -1.409807e-17 | 3.524518e-17 | -1.879743e-17 | 4.699357e-18 | 7.049035e-18 | 1.644775e-17 | 1.644775e-17 | -2.349678e-17 | 2.255691e-16 | 1.832749e-16 | -1.409807e-17 | -7.753939e-17 | 2.349678e-18 | 1.409807e-17 | -2.349678e-18 | -4.934325e-17 | -7.753939e-17 | -7.518971e-17 | -9.398713e-18 | 4.699357e-18 | 0.000000 | 3.994453e-17 | -7.049035e-18 | 2.819614e-17 | -1.527291e-17 | -9.398713e-18 | -4.934325e-17 | 4.699357e-18 | 1.409807e-17 | -3.994453e-17 | 2.349678e-17 | -3.289550e-17 | 1.409807e-17 | -4.699357e-18 | -9.398713e-18 | 9.398713e-18 | 2.584646e-17 | -1.409807e-17 | -1.879743e-17 | -1.033858e-16 | 2.349678e-17 | -7.988906e-17 | -1.362813e-16 | -7.988906e-17 | 0.000000 | 5.639228e-17 | 8.458842e-17 | 1.879743e-17 | 7.330996e-16 | -9.398713e-17 | 3.947460e-16 | 7.894919e-16 | -2.288587e-15 | -1.080852e-16 | 4.680559e-15 | -2.702130e-15 | -1.738762e-15 | -4.332807e-15 | -1.879743e-17 | -4.699357e-17 | 2.819614e-17 | 1.174839e-16 | 7.988906e-17 | 4.699357e-18 | 4.699357e-18 | 7.049035e-17 | 3.759485e-17 | -1.221833e-16 | -8.928778e-17 | -4.699357e-18 | 7.049035e-17 | 7.518971e-17 | -1.550788e-16 | -9.398713e-17 | -6.579099e-17 | 2.490659e-16 | 2.725627e-16 | -1.926736e-16 | -1.132672e-12 | 1.409807e-17 | -9.398713e-18 | 2.349678e-18 | -1.762259e-17 | -1.409807e-17 | 1.409807e-17 | 5.697970e-17 | 3.054582e-17 | -4.699357e-18 | -9.398713e-18 | -1.174839e-18 | -2.584646e-17 | -4.699357e-17 | -7.049035e-18 | -4.699357e-18 | 0.000000 | -1.527291e-17 | -2.349678e-18 | ... | 0.000000 | 1.409807e-17 | 9.398713e-18 | 2.349678e-18 | 1.409807e-17 | 0.000000 | -4.699357e-18 | -1.057355e-17 | -1.174839e-17 | 1.527291e-17 | -4.699357e-18 | 4.699357e-18 | 1.174839e-18 | 9.398713e-18 | 4.699357e-18 | 0.000000 | 9.398713e-18 | 1.292323e-17 | 9.398713e-18 | -6.461615e-18 | 9.398713e-18 | -1.409807e-17 | -4.699357e-18 | -4.699357e-18 | 1.879743e-17 | -4.699357e-18 | -9.398713e-18 | 1.174839e-17 | -9.398713e-18 | -1.409807e-17 | -4.699357e-18 | -2.349678e-18 | -7.284003e-17 | 3.524518e-18 | -1.409807e-17 | -9.398713e-18 | 9.398713e-18 | -4.699357e-18 | -7.049035e-18 | 1.174839e-17 | -2.290936e-17 | -1.292323e-17 | -4.699357e-18 | -4.699357e-18 | -9.398713e-18 | 2.819614e-17 | 1.174839e-17 | -2.349678e-18 | 0.000000 | 1.879743e-17 | -9.398713e-18 | -4.699357e-18 | -1.174839e-18 | 1.409807e-17 | 2.349678e-18 | -7.049035e-18 | 7.049035e-18 | -1.174839e-18 | 9.398713e-18 | 3.524518e-18 | -1.292323e-17 | 8.811294e-18 | -1.468549e-17 | -4.699357e-18 | 7.049035e-18 | -7.049035e-18 | 7.049035e-18 | 9.398713e-18 | -2.114711e-17 | 4.229421e-17 | -7.049035e-18 | -1.151342e-16 | 1.362813e-16 | -1.644775e-16 | -1.127846e-16 | -1.691768e-16 | -1.597781e-16 | 1.221833e-16 | -6.579099e-17 | 1.879743e-17 | -8.458842e-17 | -1.362813e-16 | 2.467162e-17 | 5.874196e-18 | -1.574285e-16 | -6.109164e-17 | 1.503794e-16 | -4.699357e-18 | 1.409807e-16 | 1.127846e-16 | 9.398713e-17 | 5.639228e-17 | -2.114711e-17 | 1.879743e-17 | -8.223874e-17 | 9.398713e-18 | 3.289550e-17 | -9.398713e-18 | 2.819614e-17 | 1.879743e-17 | 0.000000 | -9.398713e-18 | 1.879743e-17 | 3.759485e-17 | -3.759485e-17 | 1.127846e-16 | 7.518971e-17 | -1.879743e-17 | 9.868649e-17 | 7.049035e-17 | 6.109164e-17 | 1.691768e-16 | 2.819614e-17 | -2.349678e-16 | 1.691768e-16 | -1.597781e-16 | -9.398713e-17 | 9.398713e-17 | -2.349678e-18 | 2.396672e-16 | 3.289550e-17 | 6.109164e-17 | 2.561149e-16 | -2.161704e-16 | 7.518971e-17 | 7.518971e-17 | -2.161704e-16 | -1.268826e-16 | -2.114711e-17 | -6.931551e-17 | 1.879743e-17 | -3.289550e-17 | 0.000000 | -4.699357e-18 | -1.033858e-16 | -9.398713e-18 | 9.398713e-17 | -9.398713e-18 | -9.398713e-17 | 1.879743e-17 | 1.033858e-16 | -1.033858e-16 | -6.579099e-17 | 3.759485e-17 | -1.268826e-16 | -1.221833e-16 | -6.579099e-17 | 1.738762e-16 | 0.000000 | 5.639228e-17 | 4.699357e-17 | 1.503794e-16 | 4.229421e-17 | -4.699357e-17 | 1.879743e-17 | -2.138207e-16 | 9.163746e-17 | -1.997227e-16 | -8.458842e-17 | -2.349678e-17 | 9.398713e-18 | 3.101575e-16 | -4.699357e-17 | -8.928778e-17 | 2.020723e-16 | -3.289550e-17 | -1.033858e-16 | -4.699357e-17 | -1.080852e-16 | -6.579099e-17 | 1.879743e-17 | -6.579099e-17 | 1.879743e-17 | -9.398713e-18 | 1.879743e-17 | 3.759485e-17 | 8.458842e-17 | -4.699357e-18 | 9.398713e-18 | -4.699357e-18 | -9.398713e-18 | 2.349678e-18 | -2.349678e-18 | 0.000000 | -1.174839e-17 | 0.000000 | 1.409807e-17 | 1.174839e-17 | 9.398713e-18 | 2.349678e-18 | 9.398713e-18 | -9.398713e-18 | 1.174839e-17 | -2.349678e-18 | -9.398713e-18 | 1.292323e-17 | -1.292323e-17 | -1.409807e-17 | 5.874196e-18 | 0.000000 | -1.174839e-17 | 0.000000 | 4.699357e-18 | 1.527291e-17 | 2.114711e-17 | 8.223874e-18 | -8.223874e-18 | 0.000000 | 0.000000 | 1.292323e-17 | -1.527291e-17 | -4.699357e-18 | -1.644775e-17 | -1.174839e-17 | -2.114711e-17 | -1.174839e-17 | -7.049035e-18 | 0.000000 | -4.699357e-18 | -1.879743e-17 | -2.819614e-17 | 0.000000 | -3.289550e-17 | -1.879743e-17 | -2.584646e-17 | -5.639228e-17 | -9.633681e-17 | -7.049035e-18 | 1.174839e-16 | 9.398713e-17 | -1.550788e-16 | -9.398713e-17 | 1.362813e-16 | -2.420169e-16 | -6.344132e-17 | -1.409807e-16 | -4.581873e-17 | -1.174839e-17 | 4.229421e-17 | 4.229421e-17 | -2.114711e-17 | -5.639228e-17 | 8.458842e-17 | 5.874196e-17 | -2.349678e-17 | -7.988906e-17 | 2.819614e-17 | -7.049035e-17 | -9.398713e-17 | 0.746032 |
| std | 72.793721 | 0.500079 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | ... | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 1.000000e+00 | 0.435568 |
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3.050925e-01 | 3.377294e-01 | 3.434336e-01 | 3.808703e-01 | -3.035206e-01 | -2.506655e-01 | -2.428227e-01 | -2.086055e-01 | -2.506519e-01 | -2.373173e-01 | -2.187775e-01 | -0.165491 | -1.769275e-01 | -2.066979e-01 | -2.780760e-01 | -2.686598e-01 | -2.632697e-01 | -1.850438e-01 | -1.235193e-01 | -1.530749e-01 | -3.550092e-02 | -8.952920e-02 | -1.903798e-01 | -1.144684e-01 | -1.198182e-01 | -1.287845e-01 | -2.072352e-01 | -3.331478e-01 | -3.102258e-01 | -3.278390e-01 | -3.440711e-01 | -3.176770e-01 | -2.779817e-01 | -3.014469e-01 | -3.401528e-01 | -3.174152e-01 | -3.019299e-01 | -3.489472e-01 | -3.581761e-01 | -3.765417e-01 | -1.164827e-02 | -6.380562e-03 | -4.919095e-02 | -4.069033e-03 | -1.858119e-02 | -1.326000e-02 | 0.000471 | -2.010378e-02 | -0.007551 | 1.708676e-02 | 1.176554e-02 | -2.266395e-03 | -1.826846e-02 | -1.408858e-02 | 1.864211e-02 | -1.590800e-02 | 2.540807e-02 | -6.003873e-03 | 8.212667e-03 | 1.064776e-02 | 5.404851e-02 | -1.256099e-02 | -0.010385 | 3.600991e-02 | 0.042828 | -2.152164e-02 | -3.871286e-03 | 2.728130e-02 | 2.902303e-02 | -1.063646e-03 | 0.062638 | 0.039864 | 4.137913e-02 | 2.703582e-02 | 6.956788e-03 | 1.215204e-02 | -2.945427e-01 | -2.415879e-01 | -2.380523e-01 | -2.418887e-01 | -0.244394 | -2.004136e-01 | -1.437790e-01 | -1.278045e-01 | -0.092874 | -9.605667e-02 | -1.752231e-01 | -1.568380e-01 | -1.488250e-01 | -1.279844e-01 | -1.657610e-01 | -2.265032e-01 | -2.177754e-01 | -1.942737e-01 | -1.634269e-01 | -1.586529e-01 | -1.500344e-01 | -2.268963e-01 | -1.407674e-01 | -1.272760e-01 | -1.565196e-01 | -3.063032e-01 | -4.106194e-01 | -4.891192e-01 | -4.835825e-01 | -4.898876e-01 | -4.540135e-01 | -4.452689e-01 | -4.671424e-01 | -5.135016e-01 | -5.139139e-01 | -6.089178e-01 | 1.000000 |
| 75% | 188.250000 | 1.000000 | 5.199889e-01 | 7.827394e-01 | 7.090777e-01 | 6.075222e-01 | 6.093552e-01 | 6.393980e-01 | -2.907037e-01 | 7.441909e-02 | 6.947578e-02 | 4.589201e-02 | 5.578371e-02 | 0.046707 | 4.206345e-01 | 4.968519e-01 | 4.600742e-01 | 4.361411e-01 | 4.719811e-01 | 4.601519e-01 | 4.900225e-01 | -1.058609e-01 | 7.205483e-01 | 6.798062e-01 | 6.619343e-01 | 6.728089e-01 | 6.672314e-01 | 6.267337e-01 | 6.852867e-01 | 7.476272e-01 | 6.754644e-02 | 6.084277e-03 | -2.386058e-02 | 7.750551e-02 | 6.465514e-01 | 4.343391e-01 | 0.125687 | 3.109339e-01 | 3.747821e-01 | 2.110680e-01 | 6.222548e-01 | 4.115574e-01 | 5.568308e-01 | 5.185718e-02 | 1.045607e-01 | 3.765886e-02 | 1.786599e-01 | 1.071109e-01 | 7.223835e-01 | 6.412018e-01 | -5.561363e-02 | 2.487156e-01 | 3.606591e-01 | 6.503615e-01 | 1.874439e-01 | 6.426438e-01 | 7.037102e-01 | 6.933862e-01 | 6.530168e-01 | 7.704023e-01 | 6.873411e-01 | 6.749726e-01 | 6.452131e-01 | 6.653457e-01 | 6.860340e-01 | 6.389556e-01 | 7.304359e-01 | 5.851718e-01 | 6.301951e-01 | 6.579964e-01 | 3.390575e-01 | 4.128455e-01 | 0.551122 | 5.484753e-01 | 5.655340e-01 | 6.392880e-01 | 6.053307e-01 | 5.396770e-01 | 5.840407e-01 | 5.717998e-01 | 5.943123e-01 | 5.932560e-01 | 6.121192e-01 | 5.632399e-01 | 3.549787e-01 | 0.449958 | 0.507611 | 5.132902e-01 | 5.328692e-01 | 5.200221e-01 | 5.949120e-01 | 5.556008e-01 | 5.381346e-01 | 5.993841e-01 | 6.116001e-01 | 5.477522e-01 | 5.907633e-01 | 6.165987e-01 | 1.239975e-01 | 1.164066e-01 | 2.536021e-01 | 4.966854e-01 | 4.841376e-01 | 5.688266e-01 | 5.498459e-01 | 5.245708e-01 | 5.843182e-01 | 5.436608e-01 | 5.904212e-01 | 5.896635e-01 | 5.969460e-01 | 5.682498e-01 | 2.567068e-01 | 2.108993e-01 | 2.896146e-01 | 5.139230e-01 | 4.036052e-01 | 5.517367e-01 | 4.551008e-01 | 5.524708e-01 | 4.732803e-01 | 5.782910e-01 | 5.948594e-01 | 5.230749e-01 | 5.988207e-01 | 5.471504e-01 | 3.505505e-01 | 2.930560e-01 | 3.107651e-01 | 4.500568e-01 | 3.189019e-01 | 4.365210e-01 | 3.941927e-01 | 5.787016e-01 | 5.344979e-01 | 5.854540e-01 | 5.734011e-01 | 5.098625e-01 | 5.452727e-01 | 5.536846e-01 | 2.207342e-01 | -1.014267e-01 | -1.113266e-01 | -0.120261 | -1.747572e-01 | -1.501138e-01 | -2.085621e-01 | -1.808755e-01 | -1.744561e-01 | -1.497355e-01 | -1.849402e-01 | 1.131271e-01 | 0.123258 | 1.244748e-01 | 1.917119e-01 | 1.887854e-01 | 1.999970e-01 | 1.359436e-01 | 1.340804e-01 | 2.115199e-01 | 1.635475e-01 | 3.673647e-01 | 3.771601e-01 | 3.746934e-01 | 4.040747e-01 | 4.229517e-01 | 3.888982e-01 | 4.687946e-01 | 4.821857e-01 | 5.695502e-01 | 5.770607e-01 | -1.236758e-01 | -1.421017e-01 | -0.122563 | -1.956451e-01 | -1.851675e-01 | -2.033384e-01 | -1.566799e-01 | -1.338058e-01 | -1.987073e-01 | -1.514787e-01 | -1.536111e-01 | -1.644985e-01 | -1.900702e-01 | -2.215663e-01 | -1.882583e-01 | -2.056708e-01 | -1.420733e-01 | -1.329345e-01 | -2.055860e-01 | -1.473155e-01 | 6.618906e-01 | 6.657001e-01 | 6.692134e-01 | 6.690303e-01 | 6.752091e-01 | 6.773443e-01 | 0.680327 | 6.824552e-01 | 6.827259e-01 | 6.826680e-01 | 5.901952e-01 | 6.010718e-01 | 6.281603e-01 | 6.614311e-01 | 6.877766e-01 | 6.948843e-01 | 7.000158e-01 | 6.905180e-01 | 6.905203e-01 | 6.900649e-01 | 2.180249e-01 | 3.451445e-01 | 3.975540e-01 | 4.425299e-01 | 4.321182e-01 | 4.232937e-01 | 4.312002e-01 | 4.217254e-01 | 4.226221e-01 | 4.279232e-01 | 2.586256e-01 | 3.468904e-01 | 3.695113e-01 | 4.381804e-01 | 4.378632e-01 | 4.283184e-01 | 4.125836e-01 | 4.205203e-01 | 4.240837e-01 | 4.251400e-01 | 2.367647e-01 | -1.537639e-01 | -1.743038e-01 | -1.860648e-01 | -2.305639e-01 | -2.128108e-01 | -2.302835e-01 | -1.946332e-01 | -1.889390e-01 | -1.958637e-01 | -1.693455e-01 | -2.395267e-01 | -3.018817e-01 | -2.051874e-01 | 1.868599e-02 | 5.374178e-02 | 0.110829 | 7.133271e-02 | 1.379155e-01 | ... | 0.261434 | 1.476545e-01 | 3.014077e-01 | 2.869743e-01 | 1.719636e-01 | 0.330712 | 2.477310e-01 | 2.353983e-01 | 1.487028e-01 | 1.086356e-01 | 2.387815e-01 | 2.529769e-01 | 1.136526e-01 | 1.031694e-01 | 1.969247e-01 | 0.282055 | 1.765997e-01 | 1.926355e-01 | 1.943034e-01 | 1.023150e-01 | 1.336023e-01 | 8.889254e-02 | 6.213094e-02 | 4.417444e-02 | 5.982580e-02 | 6.923637e-02 | 1.983170e-02 | 1.098410e-01 | 1.184594e-01 | 9.713841e-02 | 7.491242e-02 | 3.626781e-02 | 6.349588e-01 | 3.851816e-01 | 3.121509e-01 | 3.091130e-01 | 3.317299e-01 | 1.861415e-01 | 3.203285e-01 | 3.337541e-01 | 3.206174e-01 | 4.009502e-01 | 3.485005e-01 | 2.845274e-01 | 2.198273e-01 | 3.513364e-01 | 3.929479e-01 | 3.214870e-01 | 0.234056 | 4.038390e-01 | 4.083142e-01 | 3.547802e-01 | 3.398438e-01 | 3.587567e-01 | 3.987527e-01 | 3.507863e-01 | 2.854325e-01 | 3.055808e-01 | 2.186142e-01 | 7.918311e-02 | 9.779564e-02 | 1.157225e-01 | 1.524483e-01 | 2.232504e-01 | 1.416729e-01 | 9.037233e-02 | 2.118767e-01 | 1.716256e-01 | 6.727104e-01 | 2.623617e-01 | 2.527368e-01 | 2.849911e-01 | 2.821365e-01 | 2.935181e-01 | 3.319996e-01 | 4.655910e-01 | 4.438625e-01 | 6.009489e-01 | 5.237418e-01 | 2.518370e-01 | 2.584549e-01 | 3.612736e-01 | 5.290884e-01 | 6.863595e-01 | 6.863023e-01 | 7.215339e-01 | 5.963098e-01 | 5.750962e-01 | 5.572447e-01 | 5.100597e-01 | 4.873867e-01 | 3.924525e-01 | 4.217398e-01 | 5.159009e-01 | 4.117167e-01 | 1.988733e-01 | -1.150156e-01 | -1.100466e-01 | -1.379221e-02 | 6.210370e-02 | 0.029333 | 2.599023e-02 | 4.991022e-02 | 7.213092e-02 | 1.949876e-01 | 6.992258e-01 | 6.771368e-01 | 6.587990e-01 | 6.809839e-01 | 6.118722e-01 | 5.988404e-01 | 7.709570e-01 | 7.878958e-01 | 8.210034e-01 | 7.854028e-01 | 7.241952e-01 | 7.175374e-01 | 7.443092e-01 | 8.091131e-01 | 8.599448e-01 | 8.446860e-01 | 8.034419e-01 | 8.072389e-01 | 7.258292e-01 | 7.246118e-01 | 7.448310e-01 | 7.086248e-01 | 6.736025e-01 | 6.767555e-01 | 7.450066e-01 | 7.422004e-01 | 5.879931e-01 | 0.487905 | 4.211841e-01 | 4.982702e-01 | 5.438759e-01 | 4.625239e-01 | 4.582915e-01 | 5.160473e-01 | 5.212316e-01 | 5.342847e-01 | 4.664719e-01 | 4.169285e-01 | 3.983066e-01 | 3.885239e-01 | 3.367829e-01 | 3.841940e-01 | 5.745817e-01 | 0.531885 | 5.800899e-01 | 5.358944e-01 | 4.378034e-01 | 3.820554e-01 | 4.999538e-01 | 6.613005e-01 | 7.352779e-01 | 7.270797e-01 | 7.471787e-01 | 6.673373e-01 | 6.390768e-01 | 5.411857e-01 | 5.055682e-01 | 4.727137e-01 | 3.749653e-01 | 4.345569e-01 | 5.189105e-01 | 4.143926e-01 | 2.021822e-01 | 3.465345e-02 | 3.244002e-02 | 1.136494e-01 | 1.388511e-01 | 1.317536e-01 | 4.103983e-02 | 2.438259e-02 | 4.323704e-02 | 1.483566e-01 | 2.056930e-02 | 3.651922e-03 | -2.739509e-02 | 5.896739e-03 | 4.808086e-03 | 6.027618e-03 | 0.050061 | 2.223501e-02 | 0.073316 | 8.974818e-02 | 1.427612e-01 | 1.534175e-02 | 4.154978e-02 | 1.790939e-01 | 1.998574e-01 | 4.376372e-02 | 4.825744e-02 | 2.551320e-02 | 1.605390e-01 | 4.720716e-02 | 7.394822e-02 | 2.679307e-02 | 0.045485 | 3.757704e-02 | 0.043226 | -2.099306e-02 | 2.836594e-02 | 9.418877e-02 | 1.277362e-01 | 3.579948e-02 | 0.175852 | 0.126741 | 1.721183e-01 | 2.865159e-01 | 3.014413e-01 | 2.333955e-01 | -2.291675e-01 | -2.304923e-01 | -2.316673e-01 | -2.353586e-01 | -0.237221 | -1.931515e-01 | -1.299659e-01 | -1.007763e-01 | -0.071872 | -7.532203e-02 | -1.186184e-01 | -1.036689e-01 | -1.157185e-02 | 6.563916e-02 | 1.299397e-01 | 2.316486e-01 | 1.851917e-01 | 1.748217e-01 | 1.945615e-01 | 2.869100e-01 | 2.586273e-01 | 2.849716e-01 | 1.016209e-01 | -6.366724e-02 | -1.438536e-01 | -2.808989e-01 | -2.034929e-01 | 6.444291e-02 | 2.142590e-01 | 1.314211e-01 | -3.412235e-02 | -7.550775e-02 | -1.064822e-02 | 4.530335e-01 | 5.365224e-01 | 8.660051e-01 | 1.000000 |
| max | 251.000000 | 1.000000 | 9.532304e-01 | 2.183453e+00 | 2.780599e+00 | 5.876167e+00 | 5.858217e+00 | 3.616665e+00 | 4.259739e+00 | 9.674871e+00 | 1.046865e+01 | 1.065043e+01 | 1.023490e+01 | 10.650727 | 4.271371e+00 | 3.940669e+00 | 4.298323e+00 | 5.828667e+00 | 6.545056e+00 | 4.298493e+00 | 5.908999e-01 | 6.794493e+00 | 2.571046e+00 | 1.476557e+00 | 1.579288e+00 | 1.581552e+00 | 2.729366e+00 | 4.074123e+00 | 2.321857e+00 | 2.687828e+00 | 1.476178e+01 | 8.808646e+00 | 7.396143e+00 | 8.047278e+00 | 6.465514e-01 | 5.204274e+00 | 4.526884 | 1.101829e+01 | 1.085683e+01 | 1.535628e+01 | 3.129254e+00 | 9.913445e+00 | 4.911860e+00 | 1.140618e+01 | 1.219973e+01 | 1.177228e+01 | 6.991352e+00 | 9.741883e+00 | 2.357932e+00 | 4.140490e+00 | 8.403600e+00 | 5.942738e+00 | 6.271709e+00 | 5.196013e+00 | 8.377509e+00 | 4.205139e+00 | 1.926146e+00 | 2.813580e+00 | 3.217639e+00 | 2.698767e+00 | 2.937898e+00 | 3.178203e+00 | 3.823224e+00 | 3.009221e+00 | 3.930087e+00 | 2.996085e+00 | 2.560330e+00 | 3.207902e+00 | 4.116157e+00 | 2.824016e+00 | 1.018369e+01 | 9.995021e+00 | 6.002750 | 5.074944e+00 | 4.094588e+00 | 6.529052e+00 | 3.812976e+00 | 9.766850e+00 | 4.984571e+00 | 4.073451e+00 | 6.268050e+00 | 7.301752e+00 | 4.270367e+00 | 4.787305e+00 | 3.176332e+00 | 4.883729 | 4.970677 | 6.344986e+00 | 4.352181e+00 | 5.751510e+00 | 4.073437e+00 | 7.124646e+00 | 9.630540e+00 | 3.789214e+00 | 3.760308e+00 | 4.518565e+00 | 4.131794e+00 | 4.212401e+00 | 1.217601e+01 | 1.087868e+01 | 5.815372e+00 | 4.106890e+00 | 3.415991e+00 | 4.284723e+00 | 6.218142e+00 | 9.650070e+00 | 4.672178e+00 | 5.233845e+00 | 5.155851e+00 | 4.094865e+00 | 5.769086e+00 | 4.464811e+00 | 9.812636e+00 | 8.195686e+00 | 6.130796e+00 | 6.045899e+00 | 4.549485e+00 | 4.425635e+00 | 5.977212e+00 | 4.877276e+00 | 5.301272e+00 | 3.738998e+00 | 3.925432e+00 | 3.617139e+00 | 4.285379e+00 | 3.631350e+00 | 6.886728e+00 | 5.438746e+00 | 6.019099e+00 | 6.624469e+00 | 4.271759e+00 | 4.339082e+00 | 4.836055e+00 | 4.530665e+00 | 5.241063e+00 | 3.328993e+00 | 3.496338e+00 | 3.280664e+00 | 4.226261e+00 | 3.890516e+00 | 2.223036e-01 | 1.919040e+01 | 1.828688e+01 | 24.120739 | 1.825025e+01 | 1.566414e+01 | 1.373636e+01 | 1.858991e+01 | 1.321092e+01 | 2.202102e+01 | 1.103760e+01 | 1.131476e-01 | 0.123267 | 1.245066e-01 | 1.919915e-01 | 1.891819e-01 | 2.003716e-01 | 1.361161e-01 | 1.343044e-01 | 2.119552e-01 | 1.639597e-01 | 5.230622e+00 | 5.512491e+00 | 5.493555e+00 | 4.283031e+00 | 4.015771e+00 | 4.072923e+00 | 3.553482e+00 | 3.616239e+00 | 3.333644e+00 | 2.880718e+00 | 1.740177e+01 | 2.130543e+01 | 24.764633 | 1.924813e+01 | 1.666114e+01 | 1.234808e+01 | 2.024034e+01 | 2.141820e+01 | 1.463124e+01 | 1.588774e+01 | 1.781082e+01 | 1.836533e+01 | 1.802083e+01 | 1.744623e+01 | 1.794272e+01 | 1.512253e+01 | 2.044726e+01 | 2.122703e+01 | 1.160587e+01 | 1.629479e+01 | 1.292051e+00 | 1.297461e+00 | 1.297582e+00 | 1.304788e+00 | 1.307906e+00 | 1.312577e+00 | 1.314515 | 1.329327e+00 | 1.332109e+00 | 1.337836e+00 | 2.955678e+00 | 3.025028e+00 | 3.156487e+00 | 3.361382e+00 | 3.533585e+00 | 3.595228e+00 | 3.599136e+00 | 3.609663e+00 | 3.610216e+00 | 3.611576e+00 | 1.729143e+01 | 9.330183e+00 | 8.152467e+00 | 7.854522e+00 | 8.102761e+00 | 8.277520e+00 | 8.336664e+00 | 8.573164e+00 | 8.572854e+00 | 8.686621e+00 | 1.190746e+01 | 9.803351e+00 | 1.126424e+01 | 7.693662e+00 | 7.804807e+00 | 7.814430e+00 | 9.412895e+00 | 8.307819e+00 | 8.993771e+00 | 8.715589e+00 | 2.367647e-01 | 1.694761e+01 | 1.853857e+01 | 2.115562e+01 | 1.182654e+01 | 1.714296e+01 | 1.273285e+01 | 1.849157e+01 | 1.654078e+01 | 1.433311e+01 | 1.612350e+01 | 1.243844e+01 | 1.044140e+01 | 5.400953e+00 | 2.201343e+00 | 9.999016e-01 | 0.597005 | 3.061742e-01 | 1.676776e-01 | ... | 8.866640 | 6.149087e+00 | 7.516680e+00 | 7.620454e+00 | 4.883328e+00 | 7.501552 | 5.995694e+00 | 5.817866e+00 | 8.209057e+00 | 7.122809e+00 | 6.323835e+00 | 5.401225e+00 | 6.251372e+00 | 1.287424e+01 | 6.929373e+00 | 4.715551 | 8.641966e+00 | 9.251115e+00 | 6.164635e+00 | 1.003335e+01 | 6.446794e+00 | 7.230630e+00 | 5.671736e+00 | 5.671369e+00 | 1.033396e+01 | 4.211156e+00 | 1.728028e+01 | 1.206372e+01 | 6.742188e+00 | 9.501409e+00 | 1.222318e+01 | 1.401457e+01 | 4.788474e+00 | 5.398157e+00 | 7.501940e+00 | 3.901522e+00 | 7.846588e+00 | 9.224017e+00 | 8.244040e+00 | 5.199979e+00 | 6.421131e+00 | 5.221020e+00 | 5.046516e+00 | 5.078743e+00 | 9.636133e+00 | 5.872087e+00 | 4.509641e+00 | 4.515540e+00 | 11.599627 | 3.999169e+00 | 5.609059e+00 | 8.254708e+00 | 6.954875e+00 | 5.395971e+00 | 4.960658e+00 | 6.691266e+00 | 4.524113e+00 | 4.780221e+00 | 6.317330e+00 | 8.365068e+00 | 6.784725e+00 | 1.774155e+01 | 1.057408e+01 | 8.171153e+00 | 6.846858e+00 | 4.892877e+00 | 5.837438e+00 | 5.161361e+00 | 4.930098e+00 | 6.298825e+00 | 6.221575e+00 | 8.452494e+00 | 9.259093e+00 | 1.014958e+01 | 1.176962e+01 | 9.677953e+00 | 8.782601e+00 | 4.702626e+00 | 5.719137e+00 | 5.893312e+00 | 8.755445e+00 | 8.252952e+00 | 4.903392e+00 | 3.980163e+00 | 3.761566e+00 | 4.415107e+00 | 4.313335e+00 | 5.357733e+00 | 5.837377e+00 | 6.916904e+00 | 5.267815e+00 | 5.273369e+00 | 5.390048e+00 | 3.997296e+00 | 4.608102e+00 | 6.560872e+00 | 8.428165e+00 | 1.576739e+01 | 1.569974e+01 | 1.355104e+01 | 20.109584 | 1.950296e+01 | 9.930567e+00 | 8.316857e+00 | 8.284889e+00 | 1.113962e+00 | 1.132630e+00 | 1.113389e+00 | 1.058390e+00 | 9.725829e-01 | 9.361597e-01 | 1.230788e+00 | 1.270128e+00 | 1.302586e+00 | 1.275491e+00 | 1.195827e+00 | 1.174133e+00 | 1.219741e+00 | 1.389264e+00 | 1.471518e+00 | 1.521012e+00 | 1.636254e+00 | 1.651230e+00 | 1.562476e+00 | 1.567391e+00 | 1.526752e+00 | 1.508872e+00 | 1.325664e+00 | 1.217251e+00 | 1.165245e+00 | 1.015967e+00 | 7.293676e-01 | 0.610275 | 5.598867e-01 | 6.974352e-01 | 7.442011e-01 | 6.189307e-01 | 5.899645e-01 | 6.302324e-01 | 6.165518e-01 | 6.183483e-01 | 4.408798e+00 | 7.086973e+00 | 7.920852e+00 | 8.705702e+00 | 1.108429e+01 | 1.349879e+01 | 8.233787e+00 | 8.435399 | 4.813826e+00 | 5.355225e+00 | 5.156501e+00 | 5.705233e+00 | 6.088928e+00 | 3.749417e+00 | 3.786073e+00 | 4.441439e+00 | 5.013204e+00 | 3.878560e+00 | 4.586958e+00 | 7.784314e+00 | 5.733749e+00 | 6.045451e+00 | 7.166991e+00 | 5.192020e+00 | 3.805066e+00 | 4.292722e+00 | 6.361852e+00 | 8.620897e+00 | 1.416885e+01 | 1.503512e+01 | 1.088529e+01 | 1.683112e+01 | 1.665822e+01 | 8.519882e+00 | 8.161791e+00 | 8.770184e+00 | 6.676792e+00 | 7.351423e+00 | 2.234013e+01 | 8.207517e+00 | 2.343324e+01 | 1.190151e+01 | 7.663797 | 2.126832e+01 | 10.092639 | 5.991987e+00 | 5.175751e+00 | 1.408162e+01 | 9.454969e+00 | 1.498544e+01 | 8.066416e+00 | 5.828973e+00 | 1.089477e+01 | 1.153038e+01 | 6.242888e+00 | 3.772008e+00 | 7.016286e+00 | 9.674621e+00 | 12.996211 | 2.696701e+00 | 11.128145 | 1.561528e+01 | 4.550817e+00 | 3.797695e+00 | 3.806105e+00 | 8.225420e+00 | 3.946313 | 3.712681 | 3.373332e+00 | 2.856284e+00 | 2.447626e+00 | 2.467867e+00 | 8.096677e+00 | 7.415644e+00 | 7.223287e+00 | 7.110503e+00 | 7.067843 | 8.077887e+00 | 1.359684e+01 | 2.104141e+01 | 21.892656 | 2.148404e+01 | 1.720099e+01 | 1.381578e+01 | 1.799064e+01 | 2.399740e+01 | 1.839530e+01 | 1.656452e+01 | 1.820728e+01 | 1.855637e+01 | 1.645478e+01 | 1.644003e+01 | 1.352978e+01 | 1.260913e+01 | 2.360525e+01 | 1.935638e+01 | 1.112618e+01 | 8.389025e+00 | 7.651276e+00 | 5.057983e+00 | 5.531429e+00 | 4.031528e+00 | 4.406607e+00 | 4.124732e+00 | 3.742389e+00 | 3.002580e+00 | 2.964928e+00 | 3.649985e+00 | 1.000000 |
8 rows × 755 columns
y = data[['class']]
target_count = pd.value_counts(y.values.flatten())
plt.figure()
plt.title('Class balance')
plt.bar(target_count.index, target_count.values)
plt.show()
min_class = target_count.idxmin()
ind_min_class = target_count.index.get_loc(min_class)
print('Minority class:', target_count[ind_min_class])
print('Majority class:', target_count[1-ind_min_class])
print('Proportion:', round(target_count[ind_min_class] / target_count[1-ind_min_class], 2), ': 1')
Minority class: 564 Majority class: 192 Proportion: 2.94 : 1
def get_important_column_names(df, correlation_threshold=0):
superclasses = list(dict.fromkeys([c.split('-')[0] for c in df.columns]))
groups = {c: [] for c in superclasses}
for c in df.columns:
groups[c.split('-')[0]].append(c)
important_columns = []
for i, (group_name, columns) in enumerate(groups.items()):
corr_matrix = df[columns].corr().abs() # Calculate the correlation within group
upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool)) # Select upper triangle of correlation matrix
to_drop = [column for column in upper.columns if any(upper[column] > correlation_threshold)]
to_keep = list(set(columns) - set(to_drop))
important_columns += to_keep
# Plot the correlation
if i == 0 or i == len(groups.values()) - 1 or len(columns) > 10:
continue
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 30))
axes[0].set_title(f'In-group correlation for {group_name}')
sns.heatmap(corr_matrix, ax=axes[0], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
corr_matrix = df[to_keep].corr().abs()
axes[1].set_title('Correlation between the kept variables')
sns.heatmap(corr_matrix, ax=axes[1], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
fig.tight_layout()
plt.show()
return important_columns
importants = get_important_column_names(data, correlation_threshold=CORRELATION_THRESHOLD)
importants = data[importants]
print(importants.shape)
importants.head()
(756, 172)
| -gender | -id | Baseline Features-stdDevPeriodPulses | Baseline Features-RPDE | Baseline Features-PPE | Baseline Features-DFA | Intensity Parameters-minIntensity | Formant Frequencies-f1 | Formant Frequencies-f3 | Bandwidth Parameters-b2 | Bandwidth Parameters-b1 | Bandwidth Parameters-b4 | Bandwidth Parameters-b3 | Vocal Fold-GNE_NSR_SEO | Vocal Fold-IMF_SNR_SEO | Vocal Fold-IMF_SNR_TKEO | Vocal Fold-GNE_SNR_TKEO | Vocal Fold-GQ_std_cycle_open | Vocal Fold-VFER_SNR_TKEO | Vocal Fold-GNE_SNR_SEO | Vocal Fold-IMF_NSR_TKEO | Vocal Fold-GNE_mean | Vocal Fold-GQ_prc5_95 | Vocal Fold-IMF_NSR_SEO | Vocal Fold-VFER_SNR_SEO | MFCC -mean_delta_log_energy | MFCC -mean_MFCC_7th_coef | MFCC -mean_7th_delta | MFCC -mean_MFCC_5th_coef | MFCC -mean_MFCC_0th_coef | MFCC -mean_5th_delta | MFCC -mean_4th_delta | MFCC -mean_MFCC_6th_coef | MFCC -mean_8th_delta_delta | MFCC -mean_MFCC_10th_coef | MFCC -mean_9th_delta_delta | MFCC -mean_8th_delta | MFCC -mean_5th_delta_delta | MFCC -mean_3rd_delta_delta | MFCC -mean_6th_delta | MFCC -mean_10th_delta_delta | MFCC -mean_4th_delta_delta | MFCC -mean_MFCC_4th_coef | MFCC -mean_12th_delta | MFCC -mean_11th_delta | MFCC -mean_1st_delta | MFCC -mean_1st_delta_delta | MFCC -mean_MFCC_9th_coef | MFCC -mean_MFCC_12th_coef | MFCC -mean_7th_delta_delta | MFCC -mean_10th_delta | MFCC -mean_6th_delta_delta | MFCC -mean_Log_energy | MFCC -mean_9th_delta | MFCC -mean_delta_delta_log_energy | MFCC -mean_MFCC_2nd_coef | MFCC -mean_MFCC_8th_coef | MFCC -mean_2nd_delta | MFCC -mean_11th_delta_delta | MFCC -mean_MFCC_11th_coef | MFCC -mean_MFCC_3rd_coef | MFCC -mean_12th_delta_delta | MFCC -mean_2nd_delta_delta | MFCC -std_MFCC_2nd_coef | MFCC -mean_3rd_delta | Wavelet Features-Ea | Wavelet Features-det_entropy_log_1_coef | Wavelet Features-app_entropy_shannon_1_coef | TQWT Features-tqwt_skewnessValue_dec_14 | TQWT Features-tqwt_skewnessValue_dec_15 | TQWT Features-tqwt_medianValue_dec_35 | TQWT Features-tqwt_meanValue_dec_5 | TQWT Features-tqwt_medianValue_dec_25 | TQWT Features-tqwt_energy_dec_26 | TQWT Features-tqwt_meanValue_dec_12 | TQWT Features-tqwt_skewnessValue_dec_30 | TQWT Features-tqwt_meanValue_dec_6 | TQWT Features-tqwt_meanValue_dec_16 | TQWT Features-tqwt_entropy_log_dec_1 | TQWT Features-tqwt_energy_dec_1 | TQWT Features-tqwt_meanValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_26 | TQWT Features-tqwt_kurtosisValue_dec_23 | TQWT Features-tqwt_medianValue_dec_11 | TQWT Features-tqwt_skewnessValue_dec_16 | TQWT Features-tqwt_medianValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_1 | TQWT Features-tqwt_medianValue_dec_33 | TQWT Features-tqwt_skewnessValue_dec_18 | TQWT Features-tqwt_kurtosisValue_dec_8 | TQWT Features-tqwt_meanValue_dec_18 | TQWT Features-tqwt_meanValue_dec_11 | TQWT Features-tqwt_skewnessValue_dec_25 | TQWT Features-tqwt_meanValue_dec_9 | TQWT Features-tqwt_meanValue_dec_22 | TQWT Features-tqwt_kurtosisValue_dec_25 | TQWT Features-tqwt_medianValue_dec_17 | TQWT Features-tqwt_medianValue_dec_8 | TQWT Features-tqwt_meanValue_dec_20 | TQWT Features-tqwt_skewnessValue_dec_21 | TQWT Features-tqwt_meanValue_dec_8 | TQWT Features-tqwt_skewnessValue_dec_12 | TQWT Features-tqwt_medianValue_dec_21 | TQWT Features-tqwt_entropy_shannon_dec_23 | TQWT Features-tqwt_meanValue_dec_31 | TQWT Features-tqwt_meanValue_dec_3 | TQWT Features-tqwt_meanValue_dec_1 | TQWT Features-tqwt_meanValue_dec_28 | TQWT Features-tqwt_medianValue_dec_20 | TQWT Features-tqwt_medianValue_dec_2 | TQWT Features-tqwt_meanValue_dec_25 | TQWT Features-tqwt_meanValue_dec_17 | TQWT Features-tqwt_medianValue_dec_18 | TQWT Features-tqwt_energy_dec_23 | TQWT Features-tqwt_meanValue_dec_7 | TQWT Features-tqwt_skewnessValue_dec_3 | TQWT Features-tqwt_medianValue_dec_10 | TQWT Features-tqwt_medianValue_dec_14 | TQWT Features-tqwt_entropy_shannon_dec_26 | TQWT Features-tqwt_meanValue_dec_24 | TQWT Features-tqwt_meanValue_dec_15 | TQWT Features-tqwt_medianValue_dec_24 | TQWT Features-tqwt_medianValue_dec_32 | TQWT Features-tqwt_skewnessValue_dec_27 | TQWT Features-tqwt_medianValue_dec_28 | TQWT Features-tqwt_entropy_shannon_dec_1 | TQWT Features-tqwt_medianValue_dec_26 | TQWT Features-tqwt_medianValue_dec_22 | TQWT Features-tqwt_entropy_shannon_dec_36 | TQWT Features-tqwt_meanValue_dec_13 | TQWT Features-tqwt_medianValue_dec_29 | TQWT Features-tqwt_skewnessValue_dec_23 | TQWT Features-tqwt_skewnessValue_dec_24 | TQWT Features-tqwt_medianValue_dec_36 | TQWT Features-tqwt_energy_dec_31 | TQWT Features-tqwt_skewnessValue_dec_17 | TQWT Features-tqwt_medianValue_dec_1 | TQWT Features-tqwt_meanValue_dec_32 | TQWT Features-tqwt_meanValue_dec_14 | TQWT Features-tqwt_kurtosisValue_dec_12 | TQWT Features-tqwt_meanValue_dec_2 | TQWT Features-tqwt_medianValue_dec_5 | TQWT Features-tqwt_meanValue_dec_10 | TQWT Features-tqwt_meanValue_dec_35 | TQWT Features-tqwt_medianValue_dec_31 | TQWT Features-tqwt_medianValue_dec_13 | TQWT Features-tqwt_medianValue_dec_7 | TQWT Features-tqwt_medianValue_dec_27 | TQWT Features-tqwt_entropy_shannon_dec_25 | TQWT Features-tqwt_medianValue_dec_15 | TQWT Features-tqwt_medianValue_dec_12 | TQWT Features-tqwt_meanValue_dec_26 | TQWT Features-tqwt_meanValue_dec_29 | TQWT Features-tqwt_meanValue_dec_21 | TQWT Features-tqwt_skewnessValue_dec_19 | TQWT Features-tqwt_medianValue_dec_4 | TQWT Features-tqwt_meanValue_dec_4 | TQWT Features-tqwt_medianValue_dec_3 | TQWT Features-tqwt_entropy_shannon_dec_31 | TQWT Features-tqwt_medianValue_dec_6 | TQWT Features-tqwt_medianValue_dec_19 | TQWT Features-tqwt_medianValue_dec_16 | TQWT Features-tqwt_entropy_shannon_dec_24 | TQWT Features-tqwt_medianValue_dec_34 | TQWT Features-tqwt_meanValue_dec_19 | TQWT Features-tqwt_skewnessValue_dec_8 | TQWT Features-tqwt_skewnessValue_dec_13 | TQWT Features-tqwt_meanValue_dec_27 | TQWT Features-tqwt_skewnessValue_dec_20 | TQWT Features-tqwt_medianValue_dec_9 | TQWT Features-tqwt_skewnessValue_dec_22 | class | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | -0.406982 | 0.605434 | 0.627229 | 0.255975 | -0.093823 | -0.799003 | -0.293055 | -0.475482 | -0.365732 | -0.167031 | -0.373314 | -0.132519 | -0.064940 | 1.581718 | -1.027317 | -0.660592 | 0.832624 | -1.101694 | -0.631131 | 0.229475 | -0.856698 | 0.917362 | 0.757692 | 0.060249 | 0.355723 | 1.772607 | -0.792140 | -1.557968 | -0.927779 | -0.311436 | -0.391801 | 1.159733 | 1.663393 | 0.063720 | 0.056876 | 0.956759 | 0.326596 | 0.195401 | -1.014220 | -0.702625 | 1.561630 | -0.581490 | 0.990140 | -0.540262 | -0.631241 | -0.007689 | -0.904338 | -0.801532 | 0.876369 | -0.159629 | -1.200023 | -1.866714 | -0.345813 | 0.734690 | 0.252535 | -0.241710 | -0.260902 | 0.524088 | -0.105779 | 0.109283 | 2.506997 | 1.791888 | 0.230229 | 0.221048 | -0.818798 | 0.853208 | -0.119010 | 0.259204 | -0.051890 | -0.080966 | -0.084353 | -0.043831 | -0.035035 | -0.001064 | -0.229496 | -0.049849 | -0.652584 | -0.176780 | -1.080050 | -0.021522 | -0.113192 | -0.316886 | -0.015908 | -0.026757 | 0.059629 | -0.087215 | -0.006004 | -0.106782 | -0.000542 | -0.207832 | 0.042828 | 0.333811 | -0.986481 | -0.150644 | -0.103196 | 0.029037 | 0.008421 | 0.054049 | 0.033426 | -0.002266 | 0.020162 | 0.839439 | 0.023845 | 0.037359 | -0.381527 | -0.790968 | -0.062056 | 0.022412 | 0.137222 | 0.224582 | 0.041128 | 1.266416 | 0.046224 | -0.049191 | -0.011723 | 0.512869 | 0.351425 | -0.235925 | -0.041950 | 0.040145 | -0.033521 | -0.003832 | 4.370905 | -0.465378 | 0.012297 | 0.076512 | -0.368425 | 0.019009 | 0.102082 | -0.010385 | 0.036010 | -1.132034 | -0.210176 | 0.025408 | 0.245021 | 0.083204 | 0.300676 | -0.049720 | -0.654917 | 0.007831 | -0.348996 | 0.050936 | 0.043585 | -0.020298 | -0.037286 | -1.283663 | -0.098526 | 0.033772 | 0.034952 | -0.352678 | -0.009328 | -0.050961 | 0.025652 | 0.068192 | -0.123260 | 0.016288 | -0.430255 | 0.021280 | -0.055508 | -0.028906 | 0.137311 | -0.110823 | -0.627536 | -0.020104 | -0.018268 | 0.729509 | 0.010648 | 0.120138 | -0.012561 | 1 |
| 1 | 1 | 0 | -0.425810 | 0.368171 | 0.121539 | -0.080380 | -0.385257 | -0.613605 | -0.454749 | -0.468062 | -0.504592 | -0.438043 | -0.382405 | 0.808315 | -0.284860 | 2.023104 | -0.290060 | -0.593031 | 1.093557 | -0.807617 | -0.593164 | -0.200698 | -0.621828 | 0.915624 | 0.482782 | -0.091195 | 0.086087 | -0.240418 | -0.514336 | -1.242649 | 0.478627 | -0.275763 | -0.583557 | -0.238154 | 1.662677 | 0.694659 | 1.025082 | -0.620102 | -2.587908 | -0.251996 | 0.778121 | 0.274939 | 1.486414 | 1.001390 | 0.567366 | -0.398781 | 1.724931 | 0.167903 | -0.459693 | -0.270006 | -1.170300 | -1.437247 | -0.415208 | -0.268806 | 1.196445 | 0.981596 | 0.385242 | 0.381999 | 2.119947 | 0.632015 | -0.408143 | -0.342617 | -1.318202 | 1.092727 | -0.391392 | 0.221676 | -0.731801 | 0.886703 | 0.195495 | 0.015889 | -0.025019 | -0.038151 | -0.084353 | -0.212148 | -0.291469 | -0.001064 | 0.193967 | -0.169880 | -0.631007 | -0.170655 | 0.799923 | -0.021522 | -0.323911 | 0.168137 | -0.015908 | -0.026757 | -2.682367 | -0.045167 | -0.006004 | 0.068130 | 1.147337 | -0.213822 | 0.042828 | 0.557610 | -0.114129 | -0.149357 | -0.103196 | 0.029037 | 0.003571 | 0.054049 | 0.698244 | -0.002266 | 0.020162 | 0.231757 | 0.223250 | -0.155637 | -0.208399 | 0.887611 | -0.062056 | -0.104861 | 0.221003 | -0.288608 | 0.041128 | 0.525484 | -0.384562 | -0.049191 | 0.261182 | -0.146577 | 0.229163 | 0.020515 | 0.165627 | 0.040145 | -0.084311 | -0.003842 | 0.393476 | -0.457701 | 0.012297 | 0.076512 | -0.370927 | -0.195914 | 0.054640 | -0.010385 | 0.036010 | -1.089307 | -0.208074 | 0.025408 | 0.043866 | -0.042651 | 0.010863 | 1.413191 | 0.989709 | 0.007831 | 0.949923 | -0.041045 | -0.016372 | -0.020298 | 0.059482 | -0.954630 | -0.147859 | -0.123658 | 0.034952 | 0.194832 | 0.082064 | 0.291398 | 0.012954 | 0.085234 | 2.106111 | 0.016288 | -0.425428 | -0.039699 | 0.028966 | -0.028906 | 0.016562 | -0.087512 | 2.025846 | -0.020104 | -0.018268 | -1.797754 | 0.010648 | 0.240998 | -0.012561 | 1 |
| 2 | 1 | 0 | -0.443263 | 0.733124 | 0.617541 | -0.349607 | -0.921953 | -0.731561 | -0.520189 | -0.538714 | -0.172572 | -0.641573 | -0.510546 | 0.197193 | 0.001538 | 4.003505 | -0.465205 | -0.172396 | 1.058605 | -0.884386 | -0.736153 | -0.692703 | -0.583404 | 0.314210 | 0.506729 | 0.440891 | 0.732639 | -0.941993 | -0.887705 | -1.572483 | -0.257692 | 0.000542 | -0.366273 | -0.140563 | 1.995160 | 0.752679 | 0.022045 | 0.007416 | -0.299125 | -0.055321 | -0.070492 | -1.397684 | 1.351904 | -0.273929 | -0.012004 | 0.613065 | 0.407768 | 0.082772 | -0.860722 | -0.945898 | 0.032044 | -1.330928 | -1.440611 | 1.176453 | 0.894026 | 1.175062 | 0.126565 | 1.287040 | -0.540697 | 1.016646 | -0.417364 | -0.975658 | 1.334294 | 1.507313 | -0.358413 | 0.221990 | -0.853407 | 0.899983 | 0.206803 | -0.162939 | 0.046892 | -0.010182 | -0.084353 | -0.198032 | 0.003061 | -0.001064 | 0.195393 | -0.191550 | -0.592637 | -0.168895 | 0.549069 | -0.021522 | -0.300517 | 0.131830 | -0.015908 | -0.026757 | -0.057702 | -0.012220 | -0.006004 | -0.117693 | 0.912083 | -0.004084 | 0.042828 | -0.039654 | 0.119340 | -0.111110 | -0.103196 | 0.029037 | -0.166603 | 0.054049 | -0.013747 | -0.002266 | 0.020162 | -0.724568 | -0.090217 | -0.033454 | 0.211126 | 1.201241 | -0.062056 | -0.175702 | 0.062595 | -0.183572 | 0.041128 | -0.188282 | -0.276200 | -0.049191 | -0.048135 | 0.032118 | 0.086424 | 0.219733 | 0.203883 | 0.040145 | 0.002799 | -0.003655 | -0.329577 | -0.463496 | 0.012297 | 0.076512 | -0.371155 | -0.038929 | 0.058288 | -0.010385 | 0.036010 | -1.121043 | -0.205315 | 0.025408 | 0.150262 | 0.000010 | -0.265562 | -0.070051 | -0.085315 | 0.007831 | 0.232059 | 0.057081 | 0.063891 | -0.020298 | -0.254895 | 0.390444 | -0.195957 | 0.111296 | 0.034952 | -0.114331 | 0.186695 | 0.169094 | 0.139120 | -0.011112 | -0.186635 | 0.016288 | -0.427842 | 0.021971 | -0.294906 | -0.028906 | -0.301974 | -0.075865 | -1.336359 | -0.020104 | -0.018268 | -0.908455 | 0.010648 | 0.090685 | -0.012561 | 1 |
| 3 | 0 | 1 | -0.275134 | 0.753132 | -1.979250 | 1.381365 | 0.618448 | 1.277102 | 1.504162 | -0.233689 | 0.082429 | 0.029685 | 0.048959 | 0.163592 | 0.188964 | 1.276773 | 0.042250 | 3.444958 | -0.184703 | 1.094189 | -0.790725 | -0.736775 | 0.548328 | 0.392449 | -0.307171 | 0.113324 | 0.928165 | -0.515913 | -0.194769 | -0.531938 | 0.322000 | -0.200273 | 0.627936 | -0.680929 | -0.282386 | 1.328221 | -0.120513 | -1.989069 | 0.412192 | -0.138677 | 0.320728 | 1.264427 | -0.104788 | 0.381151 | -0.396261 | 0.415773 | -1.438052 | -0.306433 | 0.299058 | 0.610224 | -1.174580 | 0.376021 | 0.023381 | 0.038077 | -0.189092 | 1.103908 | 1.281433 | -0.072779 | -0.434380 | -0.728989 | 0.345236 | -0.246857 | 0.157516 | 0.731011 | 0.212379 | -2.658078 | 1.110116 | 0.661862 | -0.007043 | 0.328010 | 0.403178 | -0.801931 | 0.467421 | 0.070121 | -0.246866 | -0.049954 | -1.030796 | 0.079855 | 0.540534 | -0.162840 | 1.645625 | -0.054476 | 0.017462 | -0.431392 | 0.140448 | -0.216791 | 0.341115 | 0.880194 | 0.209373 | 0.108437 | -0.166842 | 0.661883 | 0.043117 | 0.812181 | -0.171707 | -0.153615 | 0.336425 | -0.016900 | 0.357904 | -0.045151 | 0.865846 | -0.627076 | 2.118068 | 1.457848 | 1.050406 | -1.576139 | -0.627307 | -0.689370 | 1.083267 | -0.031619 | 2.859817 | -0.262229 | -0.680238 | 0.218359 | -0.266584 | 0.330943 | -0.215557 | 0.591502 | 0.608761 | -0.045714 | -0.133199 | -1.137956 | 0.418012 | -0.048787 | 0.107501 | -0.194436 | 0.332868 | -0.086801 | 0.454924 | 1.082992 | 0.074695 | -0.117422 | 0.066903 | 0.215615 | -0.158587 | 0.654483 | 1.292690 | 0.597670 | -2.826245 | -0.064166 | 2.112868 | -0.362837 | 0.030688 | -1.048804 | 0.917431 | -0.393708 | -0.428017 | -0.023640 | -4.220440 | -0.247703 | 0.056851 | -1.208295 | 0.499617 | 0.722679 | 1.661436 | 0.521198 | -0.637837 | 0.908943 | 0.098004 | -0.361434 | 0.102027 | -0.035045 | -1.352592 | -0.170039 | -0.041659 | -0.538834 | 2.905440 | 0.214129 | -0.072998 | 0.594775 | -0.937094 | 1 |
| 4 | 0 | 1 | 3.141518 | 0.299925 | -2.471353 | 1.397143 | 0.656683 | 1.479140 | 1.624873 | -0.193530 | 0.615206 | -0.185308 | -0.441688 | 0.308497 | 0.342543 | 1.504959 | 0.119167 | 2.240122 | -0.382812 | 0.882711 | -0.581813 | -0.732471 | 0.500908 | 1.510557 | -0.295263 | 0.605252 | 1.022776 | -1.186054 | -0.224299 | -0.077246 | 0.174254 | -0.558904 | 0.790364 | 1.564333 | -0.471115 | -0.889349 | -0.227440 | 1.469403 | -0.446134 | 0.987685 | 0.537950 | -0.449700 | -0.259271 | -0.640436 | -0.309068 | -0.236737 | 1.175197 | -0.365373 | 0.008854 | 0.593096 | -0.518629 | -0.952772 | 0.592865 | 0.527297 | -0.419883 | 1.009517 | 1.359972 | 0.649256 | 0.409910 | -0.939891 | 0.393287 | 0.138322 | 0.650628 | -0.192050 | -0.275103 | -3.879973 | 1.523564 | 0.389025 | 0.222561 | -0.148124 | -0.170973 | 0.577175 | 4.162204 | 0.177492 | -0.278308 | -0.053348 | 0.236028 | 0.643013 | 0.494863 | -0.165128 | 0.639925 | 0.070537 | -0.068861 | -0.081263 | -0.434536 | 0.101993 | 0.020534 | -0.192763 | -0.414820 | -0.058609 | -0.207403 | 0.140773 | 0.042969 | -0.337586 | 1.395529 | -0.158481 | -0.256182 | 0.023357 | -0.537344 | 0.320527 | -0.363231 | 0.143193 | 1.802843 | 1.442954 | -0.204280 | -0.335860 | -0.213037 | 0.015501 | 0.639852 | -0.399931 | -1.896416 | 0.308515 | -0.069233 | 0.041151 | 0.069006 | -0.073852 | -0.325670 | -0.306236 | 0.582756 | -1.272283 | -0.829044 | -0.702391 | -0.363328 | 0.003313 | 0.005671 | -0.212945 | 2.596093 | 2.057928 | 0.471262 | 0.438306 | -0.077639 | 0.254617 | 0.041437 | 0.212417 | -0.169205 | -0.374249 | -1.051349 | -0.102539 | -0.719470 | -0.148977 | 0.916459 | 0.008007 | -0.047452 | -0.027027 | 0.223099 | -0.507150 | -0.297529 | 0.014947 | -4.310307 | -0.429116 | -0.321913 | -0.400242 | -0.035470 | -1.556033 | -0.537330 | -0.057430 | -0.327851 | -0.690073 | 0.052709 | -0.530685 | 0.128427 | 0.126433 | -1.210257 | 0.349077 | 0.721110 | -0.513541 | 1.486680 | 0.021379 | -0.337607 | 0.217300 | 0.072690 | 1 |
columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
axs[i, j].set_title('Boxplot for %s'%columns[n])
axs[i, j].boxplot(data[columns[n]].dropna().values)
i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
axs[i, j].set_xlabel(columns[n])
axs[i, j].set_ylabel("probability")
axs[i, j].hist(data[columns[n]].dropna().values, 'auto')
i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
import scipy.stats as _stats
def compute_known_distributions(x_values, n_bins) -> dict:
distributions = dict()
# Gaussian
mean, sigma = _stats.norm.fit(x_values)
distributions['Normal(%.1f,%.2f)'%(mean,sigma)] = _stats.norm.pdf(x_values, mean, sigma)
# LogNorm
# sigma, loc, scale = _stats.lognorm.fit(x_values)
# distributions['LogNor(%.1f,%.2f)'%(np.log(scale),sigma)] = _stats.lognorm.pdf(x_values, sigma, loc, scale)
# Exponential
loc, scale = _stats.expon.fit(x_values)
distributions['Exp(%.2f)'%(1/scale)] = _stats.expon.pdf(x_values, loc, scale)
# SkewNorm
# a, loc, scale = _stats.skewnorm.fit(x_values)
# distributions['SkewNorm(%.2f)'%a] = _stats.skewnorm.pdf(x_values, a, loc, scale)
return distributions
def histogram_with_distributions(ax: plt.Axes, series: pd.Series, var: str):
values = series.sort_values().values
n, bins, patches = ax.hist(values, 20, density=True, edgecolor='grey')
distributions = compute_known_distributions(values, bins)
func.multiple_line_chart(ax, values, distributions, 'Best fit for %s'%var, var, 'probability')
columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
histogram_with_distributions(axs[i, j], data[columns[n]].dropna(), columns[n])
i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
columns = importants.select_dtypes(include='number').columns
if len(columns) < 30:
rows, cols = len(columns)-1, len(columns)-1
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
for i in range(len(columns)):
var1 = columns[i]
for j in range(i+1, len(columns)):
var2 = columns[j]
axs[i, j-1].set_title("%s x %s"%(var1,var2))
axs[i, j-1].set_xlabel(var1)
axs[i, j-1].set_ylabel(var2)
axs[i, j-1].scatter(data[var1], data[var2])
fig.tight_layout()
plt.show()
if len(columns) < 30:
fig = plt.figure(figsize=[12, 12])
corr_mtx = importants.corr()
sns.heatmap(corr_mtx, xticklabels=corr_mtx.columns, yticklabels=corr_mtx.columns, annot=True, cmap='Blues')
plt.title('Correlation analysis')
plt.show()
from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB
from sklearn.utils.class_weight import compute_class_weight
X = importants.loc[:, ~importants.columns.isin(['class'])]
y = importants.loc[:, importants.columns.isin(['class'])]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
class_weight = compute_class_weight(class_weight='balanced', classes=np.unique(y_train), y=y_train.values.flatten())
print('Class weights:', class_weight)
Class weights: [2.01908397 0.66457286]
clf = GaussianNB()
clf.fit(X_train, y_train.values.flatten())
y_pred = clf.predict(X_test)
print(metrics.classification_report(y_test, y_pred))
print('Accuracy:', metrics.accuracy_score(y_test, y_pred))
print('ROC AUC:', metrics.roc_auc_score(y_test, y_pred))
cnf_mtx = metrics.confusion_matrix(y_test, y_pred)
sns.heatmap(cnf_mtx, annot=True, cmap='Blues', fmt='g')
precision recall f1-score support
0 0.59 0.59 0.59 61
1 0.85 0.85 0.85 166
micro avg 0.78 0.78 0.78 227
macro avg 0.72 0.72 0.72 227
weighted avg 0.78 0.78 0.78 227
Accuracy: 0.7797356828193832
ROC AUC: 0.7197807623938376
<matplotlib.axes._subplots.AxesSubplot at 0x203953990>
from sklearn.neighbors import KNeighborsClassifier
nvalues = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
dist = ['manhattan', 'euclidean', 'chebyshev']
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)
acc, auc, precision = {}, {}, {}
for d in dist:
acc[d], auc[d], precision[d] = [], [], []
for n in nvalues:
knn = KNeighborsClassifier(n_neighbors=n, metric=d)
knn.fit(X_train, y_train.values.flatten())
y_pred = knn.predict(X_test)
acc[d].append(metrics.accuracy_score(y_test, y_pred))
auc[d].append(metrics.roc_auc_score(y_test, y_pred))
precision[d].append(metrics.precision_score(y_test, y_pred))
plt.figure()
func.multiple_line_chart(axs[0, 0], nvalues, acc, 'KNN variants', 'n', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nvalues, auc, 'KNN variants', 'n', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nvalues, precision, 'KNN variants', 'n', 'Precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
<Figure size 432x288 with 0 Axes>
min_samples_leaf = [.05, .025, .01, .0075, .005, .0025, .001]
max_depths = [5, 10, 25, 50]
criteria = ['entropy', 'gini']
plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(criteria)):
f = criteria[k]
acc, auc, precision = {}, {}, {}
for d in max_depths:
acc[d], auc[d], precision[d] = [], [], []
for n in min_samples_leaf:
tree = DecisionTreeClassifier(min_samples_leaf=n, max_depth=d, criterion=f, class_weight='balanced')
tree.fit(X_train, y_train)
y_pred = tree.predict(X_test)
acc[d].append(metrics.accuracy_score(y_test, y_pred))
auc[d].append(metrics.roc_auc_score(y_test, y_pred))
precision[d].append(metrics.precision_score(y_test, y_pred))
func.multiple_line_chart(axs[0, k], min_samples_leaf, acc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'accuracy', percentage=True)
func.multiple_line_chart(axs[1, k], min_samples_leaf, auc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[2, k], min_samples_leaf, precision, 'Decision Trees with %s criteria'%f, 'nr estimators', 'precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
n_estimators = [5, 10, 25, 50, 75, 100, 150, 200, 250, 300]
max_depths = [5, 10, 25, 50]
max_features = ['sqrt', 'log2']
plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(max_features)):
f = max_features[k]
acc, auc, precision = {}, {}, {}
for d in max_depths:
acc[d], auc[d], precision[d] = [], [], []
for n in n_estimators:
rf = RandomForestClassifier(n_estimators=n, max_depth=d, max_features=f, class_weight='balanced')
rf.fit(X_train, y_train.values.flatten())
y_pred = rf.predict(X_test)
acc[d].append(metrics.accuracy_score(y_test, y_pred))
auc[d].append(metrics.roc_auc_score(y_test, y_pred))
precision[d].append(metrics.precision_score(y_test, y_pred))
func.multiple_line_chart(axs[0, k], n_estimators, acc, 'Random Forests with %s features'%f, 'nr estimators', 'accuracy', percentage=True)
func.multiple_line_chart(axs[1, k], n_estimators, auc, 'Random Forests with %s features'%f, 'nr estimators', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[2, k], n_estimators, precision, 'Random Forests with %s features'%f, 'nr estimators', 'precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
import xgboost as xgb
D_train = xgb.DMatrix(X_train, label=y_train)
D_test = xgb.DMatrix(X_test, label=y_test)
nb_steps = list(range(1, 20))
max_depth = [3, 5, 7]
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)
acc, auc, precision = {}, {}, {}
for d in max_depth:
acc[d], auc[d], precision[d] = [], [], []
for n in nb_steps:
param = {
'eta': 0.3,
'max_depth': d,
'objective': 'multi:softprob',
'num_class': 2
}
model = xgb.train(param, D_train, n)
preds = model.predict(D_test)
y_pred = np.asarray([np.argmax(line) for line in preds])
acc[d].append(metrics.accuracy_score(y_test, y_pred))
auc[d].append(metrics.roc_auc_score(y_test, y_pred))
precision[d].append(metrics.precision_score(y_test, y_pred))
plt.figure()
func.multiple_line_chart(axs[0, 0], nb_steps, acc, 'xgboost', 'steps', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nb_steps, auc, 'xgboost', 'steps', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nb_steps, precision, 'xgboost', 'steps', 'Precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
<Figure size 432x288 with 0 Axes>
import os
os.system(f'jupyter nbconvert --output html_notebooks/project-threshold-{CORRELATION_THRESHOLD}.html --to html Project1.ipynb')